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1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra...

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Page 1: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

1

DLD

Lecture 19Recap II

Page 2: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

2

Recap

° Number System/Inter-conversion, Complements

° Boolean Algebra

° More Logic Functions: NAND, NOR, XOR

° Minimization with Karnaugh Maps

° More Karnaugh Maps and Don’t Cares

° NAND and XOR Implementations

° Circuit Analysis and Design Procedures

° Binary Adders and Subtractors

° Magnitude Comparators and Multiplexers

° Encoders, Decoders and DeMultiplexers

Page 3: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

3

Boolean Algebra

° Formal logic: In formal logic, a statement (proposition) is a declarative sentence that is either

true(1) or false (0).

° It is easier to communicate with computers using formal logic.

° Boolean variable: Takes only two values – either true (1) or false (0).

They are used as basic units of formal logic.

Page 4: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

4

Venn Diagrams

4

A BA

BA

A B

BA

A B

BA

A B

BA

A B

BA

A

A

A

Page 5: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

5

Boolean Algebra

° Boolean Algebra is a mathematical technique that provides the ability to algebraically simplify logic expressions. These simplified expressions will result in a logic circuit that is equivalent to the original circuit, yet requires fewer gates.

A

B

C

B+AC

A

BC AB+A(B+C)+B(B+C)

Page 6: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

6

Logical Operations

° The three basic logical operations are:• AND

• OR

• NOT

° AND is denoted by a dot (·).

° OR is denoted by a plus (+).

° NOT is denoted by an overbar ( ¯ ), a single quote mark (') after, or (~) before the variable.

Page 7: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

7

X X 9)

1 X X 8)

X X X 7)

1 1 X 6)

X 0 X 5)

0 X X 4)

X X X 3)

X 1 X 2)

0 0 X 1)

Y X Y X 14B)

Y X YX 14A)

YXYXX 13D)

YXYXX 13C)

YXXYX 13B)

YXYXX 13A)

YZYWXZXWZWYX 12B)

XZXYZYX 12A)

ZYXZY X 11B)

ZXYYZX 11A)

X Y Y X 10B)

X Y Y X 10A)

Commutativ

e Law

Associative Law

Distributive Law

Consensus Theorem

Boolean & DeMorgan’s Theorems

DeMorgan’s

Page 8: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8

Representation Conversion

° Need to transition between boolean expression, truth table, and circuit (symbols).

° Converting between truth table and expression is easy.

° Converting between expression and circuit is easy.

° More difficult to convert to truth table.

TruthTable

Circuit BooleanExpression

Page 9: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

9

Page 10: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

10

The NAND Gate

° This is a NAND gate. It is a combination of an AND gate followed by an inverter. Its truth table shows this…

° NAND gates have several interesting properties…• NAND(a,a)=(aa)’ = a’ = NOT(a)

• NAND’(a,b)=(ab)’’ = ab = AND(a,b)

• NAND(a’,b’)=(a’b’)’ = a+b = OR(a,b)A B Y

0 0 1

0 1 1

1 0 1

1 1 0

AB

Y

Page 11: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

11

The NAND Gate

° These three properties show that a NAND gate with both of its inputs driven by the same signal is equivalent to a NOT gate

° A NAND gate whose output is complemented is equivalent to an AND gate, and a NAND gate with complemented inputs acts as an OR gate.

° Therefore, we can use a NAND gate to implement all three of the elementary operators (AND,OR,NOT).

° Therefore, ANY switching function can be constructed using only NAND gates. Such a gate is said to be primitive or functionally complete.

Page 12: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

12

AY

A

B

Y

YAB

NOT GateAND Gate

OR Gate

NAND Gates into Other Gates

(what are these circuits?)

Page 13: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

13

Cascaded NAND Gates

3-input NAND gate

Page 14: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

14

NAND Gate and Laws

Page 15: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

15

The NOR Gate

° This is a NOR gate. It is a combination of an OR gate followed by an inverter. It’s truth table shows this…

° NOR gates also have several

interesting properties…• NOR(a,a)=(a+a)’ = a’ = NOT(a)

• NOR’(a,b)=(a+b)’’ = a+b = OR(a,b)

• NOR(a’,b’)=(a’+b’)’ = ab = AND(a,b)

A B Y

0 0 1

0 1 0

1 0 0

1 1 0

AB

Y

Page 16: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

16

Functionally Complete Gates

° Just like the NAND gate, the NOR gate is functionally complete…any logic function can be implemented using just NOR gates.

° Both NAND and NOR gates are very valuable as any design can be realized using either one.

° It is easier to build an IC chip using all NAND or NOR gates than to combine AND,OR, and NOT gates.

° NAND/NOR gates are typically faster at switching and cheaper to produce.

Page 17: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

17

NOT Gate

OR Gate

AND Gate

NOR Gates into Other Gates

(what are these circuits?)A

Y

YAB

A

B

Y

Page 18: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

18

NOR Gate and Laws

Page 19: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

19

The XOR Gate (Exclusive-OR)

° This is a XOR gate.

° XOR gates assert their output

when exactly one of the inputs

is asserted, hence the name.

° The switching algebra symbol

for this operation is , i.e.

1 1 = 0 and 1 0 = 1.

° Output is high when either A or B is high but not the both

A B Y

0 0 0

0 1 1

1 0 1

1 1 0

AB

Y

Page 20: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

20

The XNOR Gate

° This is a XNOR gate.

° This functions as an

exclusive-NOR gate, or

simply the complement of

the XOR gate.

° The switching algebra symbol

for this operation is , i.e.

1 1 = 1 and 1 0 = 0.

A B Y

0 0 1

0 1 0

1 0 0

1 1 1

AB

Y

Page 21: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

21

Page 22: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

22

K-Maps

Ex: How do you transform a K-map into a truth table? Is it unique? How do you transform a K-map into an n-cube? Is it unique?

Two- and Three-Variable Maps

Page 23: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

S = A’B’Cin + A’BCin’ + A’BCin + ABCin

Cout = A’BCin + A B’Cin + ABCin’ + ABCin

= A’BCin + ABCin + AB’Cin + ABCin + ABCin’ + ABCin

= BCin + ACin + AB

= (A’ + A)BCin + (B’ + B)ACin + (Cin’ + Cin)AB

= 1·BCin + 1· ACin + 1· AB

How to use a KarnaughMap instead of the

Algebraic simplification?

Page 24: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

Karnaugh Map for Cout

Now we have to cover all the 1s in theKarnaugh Map using the largestrectangles and as few rectanglesas we can.

A

B

Cin

0

0

0

1 1 1

01

Page 25: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

A

B

Cin

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

0

0

0 01

1 1 1

Karnaugh Map for Cout

Now we have to cover all the 1s in theKarnaugh Map using the largestrectangles and as few rectanglesas we can.

Cout = ACin

Page 26: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

A

B

Cin

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

0

0

0 01

1 1 1

Karnaugh Map for Cout

Now we have to cover all the 1s in theKarnaugh Map using the largestrectangles and as few rectanglesas we can.

Cout = Acin + AB

Page 27: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

A

B

Cin

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

0

0

0 01

1 1 1

Karnaugh Map for Cout

Now we have to cover all the 1s in theKarnaugh Map using the largestrectangles and as few rectanglesas we can.

Cout = ACin + AB + BCin

Page 28: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

A

B

Cin

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

0

1

1 10

0 1 0

Karnaugh Map for S

S = A’BCin’

Page 29: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

A

B

Cin

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

0

1

1 10

0 1 0

Karnaugh Map for S

S = A’BCin’ + A’B’Cin

Page 30: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

A

B

Cin

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

0

1

1 10

0 1 0

Karnaugh Map for S

S = A’BCin’ + A’B’Cin + ABCin

Page 31: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

A

B

Cin

Application of Karnaugh Maps: The One-bit Adder

Adder

Cin

Cout

SB

A

A B Cin S Cout0 0 0 0 00 0 1 1 00 1 0 1 00 1 1 0 11 0 0 1 01 0 1 0 11 1 0 0 11 1 1 1 1

+

0

1

1 10

0 1 0

Karnaugh Map for S

S = A’BCin’ + A’B’Cin + ABCin + AB’Cin’

No Possible Reduction!

Can you draw the circuit diagrams?

Page 32: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 33: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Karnaugh Maps for Four Input Functions

° Represent functions of 4 inputs with 16 minterms

° Use same rules developed for 3-input functions

° Note bracketed sections shown in example.

Page 34: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

C + B’D ’

Solution set can be considered as a coordinate System!

Karnaugh map: 4-variable example

° F(A,B,C,D) = m(0,2,3,5,6,7,8,10,11,14,15)

F =

D

A

B

A

B

CD

0000

1111

1000

01111 0

0 1

0 1

0 0

1 1

1 1

1 1

1 1C

+ A’BD

Page 35: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Don’t cares

° In digital systems it often happens that certain input conditions can never occur.

For example, suppose that x1 and x2 control two interlocked switches such that both switches cannot be closed at the same time. Thus the only three possible states of the switches are that both switches are open or that one switch is open and the other switch is closed.

Namely, the input valuations (x1, x2) = 00, 01, and 10 are possible, but 11 is guaranteed not to occur.

Then we say that (x1, x2) = 11 is a don’t-care condition , meaning that a circuit with x1 and x2 as inputs can be designed by ignoring this condition.

° A function that has don’t-care condition(s) is said to be incompletely specified.

Page 36: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Karnaugh maps: Don’t cares

° In some cases, outputs are undefined

° We “don’t care” if the logic produces a 0 or a 1

° This knowledge can be used to simplify functions.

0 0

1 1

X 0

X 1D

A

1 1

0 X

0 0

0 0

B

C

CDAB

00

01

11

10

00 01 11 10

- Treat X’s like either 1’s or 0’s- Very useful- OK to leave some X’s uncovered

Page 37: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

+ C’D

Karnaugh maps: Don’t cares

° f(A,B,C,D) = m(1,3,5,7,9) + d(6,12,13)• without don't cares

- f =

0 0

1 1

X 0

X 1D

A

1 1

0 X

0 0

0 0

B

C

A ’D

CDAB

00

01

11

10

00 01 11 10

C f0 00 11 01 10 00 11 X100110011

D0101010101010101

10100XX00

A0000000011111111

+

B0000111100001111

+

Page 38: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Don’t Care Conditions

° In some situations, we don’t care about the value of a function for certain combinations of the variables.• these combinations may be impossible in certain contexts

• or the value of the function may not matter in when the combinations occur

° In such situations we say the function is incompletely specified and there are multiple (completely specified) logic functions that can be used in the design.• so we can select a function that gives the simplest circuit

° When constructing the terms in the simplification procedure, we can choose to either cover or not cover the don’t care conditions.

Page 39: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Map Simplification with Don’t Cares

F=ACD+B+AC0

AB

x x1

00 01

00

01

CD

0x 1

011 10

1x 0

111

1011 1

x

0AB

x x1

00 01

00

01

CD

0x 1

011 10

1x 0

111

1011 1

xF=ABCD+ABC+BC+AC

° Alternative covering.

Page 40: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Karnaugh maps: don’t cares (cont’d)

° f(A,B,C,D) = m(1,3,5,7,9) + d(6,12,13)• f = A'D + B'C'D without don't cares

• f = with don't cares

don't cares can be treated as1s or 0s

depending on which is more advantageous

0 0

1 1

X 0

X 1D

A

1 1

0 X

0 0

0 0

B

C

A'D

by using don't care as a "1"a 2-cube can be formed rather than a 1-cube to coverthis node

+ C'D

Page 41: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Some You Group, Some You Don’t

V

X 0

1 0

0 0

X 0

C C

B A

B A

BA

BA

C A

This don’t care condition was treated as a (1). This allowed the grouping of a single one to become a grouping of two, resulting in a simpler term.

There was no advantage in treating this don’t care condition as a (1), thus it was treated as a (0) and not grouped.

Page 42: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 43: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

NAND-NAND & NOR-NOR Networks

DeMorgan’s Law:

(a + b)’ = a’ b’ (a b)’ = a’ + b’

a + b = (a’ b’)’ (a b) = (a’ + b’)’

push bubbles or introduce in pairs or remove pairs.

= =

==

Page 44: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

NAND-NAND & NOR-NOR Networks

= =

==

Page 45: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

NAND-NAND Networks

° Mapping from AND/OR to NAND/NAND

ab

cd

a) b)

c) d)

Page 46: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

NAND-NAND Networks

Page 47: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Implementations of Two-level Logic

° Sum-of-products• AND gates to form product terms

(minterms)

• OR gate to form sum

° Product-of-sums• OR gates to form sum terms

(maxterms)

• AND gates to form product

Page 48: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Two-level Logic using NAND Gates

° Replace minterm AND gates with NAND gates

° Place compensating inversion at inputs of OR gate

Page 49: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Two-level Logic using NAND Gates (cont’d)

° OR gate with inverted inputs is a NAND gate• de Morgan's: A' + B' = (A • B)'

° Two-level NAND-NAND network• Inverted inputs are not counted

• In a typical circuit, inversion is done once and signal distributed

Page 50: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Two-level Logic using NAND Gates (cont’d)

Page 51: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Conversion Between Forms

° Convert from networks of ANDs and ORs to networks of NANDs and NORs

• Introduce appropriate inversions ("bubbles")

° Each introduced "bubble" must be matched by a corresponding "bubble"

• Conservation of inversions

• Do not alter logic function

° Example: AND/OR to NAND/NAND

A

B

C

D

Z

A

B

C

D

Z

NAND

NAND

NAND

Page 52: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Z = [ (A • B)' • (C • D)' ]'

= [ (A' + B') • (C' + D') ]'

= [ (A' + B')' + (C' + D')' ]

= (A • B) + (C • D)

Conversion Between Forms (cont’d)

° Example: verify equivalence of two forms

A

B

C

D

Z

A

B

C

D

Z

NAND

NAND

NAND

Page 53: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Conversion to NAND Gates

° Start with SOP (Sum of Products)• circle 1s in K-maps

° Find network of OR and AND gates

Page 54: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

ABC

DE

FG

X

Multi-level Logic

° x = A D F + A E F + B D F + B E F + C D F + C E F + G• Reduced sum-of-products form – already simplified

• 6 x 3-input AND gates + 1 x 7-input OR gate (may not exist!)

• 25 wires (19 literals plus 6 internal wires)

° x = (A + B + C) (D + E) F + G• Factored form – not written as two-level S-o-P

• 1 x 3-input OR gate, 2 x 2-input OR gates, 1 x 3-input AND gate

• 10 wires (7 literals plus 3 internal wires)

Page 55: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Level 1 Level 2 Level 3 Level 4

originalAND-OR network

A

CD

B

BC ’

F

introduction andconservation of

bubblesA

CD

B

BC ’

F

redrawn in termsof conventional

NAND gates A

CD

B ’

BC ’

F

Conversion of Multi-level Logic to NAND Gates° F = A (B + C D) + B C'

Page 56: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

A

XBCD

F(a)

Original circuit

A

XBC

D

F(b)

Add double bubbles at inputs

D ’

A

X ’

BC

F(c)

Distribute bubblessome mismatches

D ’

AX

BC

FX ’

(d)

Insert inverters to fix mismatches

Conversion Between Forms

° Example

Page 57: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Making NAND circuits (Ex)° The easiest way to make a NAND circuit is to start with

a regular, primitive gate-based diagram.

° Two-level circuits are trivial to convert, so here is a slightly more complex random example.

Page 58: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Converting to a NAND° Step 1: Convert all AND gates to NAND gates and

convert all OR gates to NAND gates.

AND

AND

AND

AND

OR

OR

Page 59: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 60: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Logic Circuit Analysis

Analysis:

Determining the behavior of a system given its description.

The description of the system is often provided

in the form of a circuit diagram.

Page 61: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

61

Circuit Analysis Summary

° After finding the circuit inputs and outputs, you can come up with either an expression or a truth table to describe what the circuit does

° You can easily convert between expressions and truth tables

° The analysis and synthesis tools presented are sometimes based on the fundamental concepts of Boolean algebra

Find the circuit’sinputs and outputs

Find a Booleanexpression

for the circuit

Find a truth tablefor the circuit

Page 62: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Digital Design Overview

° Design digital circuit from specification

° Digital inputs and outputs known• Need to determine logic that can transform data

° Start in truth table form

° Create K-map for each output based on function of inputs

° Determine minimized sum-of-product representation

° Draw circuit diagram

Page 63: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Design Procedure (Mano)

Design a circuit from a specification.

1. Determine number of required inputs and outputs.

2. Derive truth table

3. Obtain simplified Boolean functions

4. Draw logic diagram and verify correctnessA00001111

B00110011

C01010101

R00000001

S01111111

S = A + B + CR = ABC

Page 64: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Analysis versus Design

° Design of a circuit starts with specification and ends up with a logic diagram.

° Analysis for a combinational circuit consists of determining the function that the circuit implements with:

A set of Boolean functions orA truth table, together with a possible

explanation of the operation of the circuit.We can perform the analysis by manually

finding the Boolean equations or truth table.

oThe first step in the analysis is to make sure that the given circuit is combinational and not sequential (i.e. no feedback or storage elements).

Page 65: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 66: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Half Adder

C A B S 0 0 0 1 A 0 B 0

S 0

C 1

0 0 0 00 1 1 01 0 1 01 1 0 1

Dec Binary 1 1+1 +1 2 10

Add two binary numbers• A0 , B0 -> single bit inputs

• S0 -> single bit sum

• C1 -> carry out

Page 67: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Multiple-bit Addition

A3 A2 A1 A0

0 1 0 1A 0 1 1 1B3 B2 B1 B0

B

0 1 0 10 1 1 1

A

B

0

1

0

1

1

1

1

Ai

+Bi

Ci

Si

Ci+1

Consider single-bit adder for each bit position.

Each bit position creates a sum and carry

Page 68: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Full Adder

A

B

S

C

C i+1

i

i

i

i

Si = Ci (Ai Bi)

Half-adder Half-adder

Ci+1 = AiBi + Ci(Ai Bi)

Full adder made of several half adders

Page 69: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Full Adder

half-adder

half-adderA

B

i

i

C i

C i+1

S i

S

C

C

A full adder can be made fromtwo half adders (plus an OR gate).

Hardware repetition simplifies hardware design

Page 70: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Full Adder

Full Adder

A B

C C

S

i i

i+1 i

i

Block Diagram

Putting it all together • Single-bit full adder

• Common piece of computer hardware

Page 71: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

4-Bit Adder

Full Adder

A B

0 C

S

0 0

1

0

Full Adder

A B

C

S

1 1

2

1

Full Adder

A B

C

S

2 2

3

2

Full Adder

A B

C S

3 3

4 3

C 1 1 1 0A 0 1 0 1B 0 1 1 1S 1 1 0 0

Chain single-bit adders together.What does this do to delay?

Page 72: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Negative Numbers – 2’s Complement.

110 = 0116 = 00000001-110 = FF16 = 11111111

12810 = 8016 = 10000000-12810 = 8016 = 10000000

Subtracting a number is the same as:1. Perform 2’s complement

2. Perform addition

If we can augment adder with 2’s complement hardware?

Page 73: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

4-bit Subtractor: E = 1

Full Adder

A B

C

0 0

1

0

Full Adder

A B

C

1 1

2

1

Full Adder

A B

C

2 2

3

2

Full Adder

A B

C SD

3 3

4 3 SD SD SD

E

+1

Add A to B ’ (one’s complement) plus 1

That is, add A to two’s complement of BD = A - B

Page 74: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Adder- Subtractor Circuit

Page 75: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 76: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Designing Comparators Functionally

Page 77: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Magnitude Comparator

° The comparison of two numbers• outputs: A>B, A=B, A<B

° Design Approaches• the truth table

- 22n

entries - too cumbersome for large n

• use inherent regularity of the problem

- reduce design efforts

- reduce human errors

MagnitudeCompare

A[3..0]

B[3..0]A = B

A < B

A > B

Page 78: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Magnitude Comparator

A0

A1

A2

A3

B0

B1

B2

B3

A_EQ_B

C0

C1

C3

C2

D01

D23

How can we find A > B?

How many rows would a truth table have?

28 = 256

Page 79: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Magnitude Comparator

A0

A1

A2

A3

B0

B1

B2

B3

A_EQ_B

C0

C1

C3

C2

D01

D23

If A =1001 and B = 0111is A > B?Why?

Because A3 > B3i.e. A3 . B3’ = 1

Therefore, one term in thelogic equation for A > B isA3 . B3’

Find A > B

Page 80: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Magnitude Comparator

If A = 1010 and B = 1001is A > B?Why? Because A3 = B3 and

A2 = B2 and A1 > B1i.e. C3 = 1 and C2 = 1 and A1 . B1’ = 1

Therefore, the next term in thelogic equation for A > B isC3 . C2 . A1 . B1’

A > B = A3 . B3’ + C3 . A2 . B2’ + …..

Page 81: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Magnitude Comparison

° Algorithm -> logic• A = A3A2A1A0 ; B = B3B2B1B0

• A=B if A3=B3, A2=B2, A1=B1and A1=B1

° Test each bit:- equality: xi= AiBi+Ai'Bi'

- (A=B) = x3x2x1x0

° More difficult to test less than/greater than• (A>B) = A3B3'+x3A2B2'+x3x2A1B1'+x3x2x1 A0B0'

• (A<B) = A3'B3+x3A2'B2+x3x2A1'B1+x3x2x1 A0'B0

• Start comparisons from high-order bits

° Implementation• xi = (AiBi'+Ai'Bi)’

Page 82: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 83: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Multiplexers

o A multiplexer haso N control inputso 2N data inputso 1 output

o A multiplexer routes (or connects) the selected data input to the output.

o The value of the control inputs determines the data input that is selected.

Page 84: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

4– to– 1- Line Multiplexer

Page 85: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Quadruple 2–to–1-Line Multiplexer

Notice enable bit

Notice select bit

4 bit inputs

Page 86: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 87: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Binary Decoder

° Black box with n input lines and 2n output lines

° Only one output is a 1 for any given input

° Convert binary information from n input lines to 2n output lines.

° Known as n-to-m-line decoder (m = 2n).

° May be used to generate the 2n minterms of n input variables.

BinaryDecoder

ninputs m=2n outputs

Page 88: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

2-to-4 Binary Decoder2-to-4 Binary Decoder

° From truth table, circuit for 2x4 decoder is:

° Note: Each output is a 2-variable minterm (X'Y', X'Y, XY' or XY)

X Y F0 F1 F2 F3

0 0 1 0 0 00 1 0 1 0 01 0 0 0 1 01 1 0 0 0 1

F0 = X'Y'

F1 = X'Y

F2 = XY'

F3 = XY

X Y

Truth Table:

2-to-4Decoder

X

Y

F0

F1

F2

F3

Page 89: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

3-3-to-8 to-8 BinaBinary ry DecDecoderoderx y z F0 F1 F2 F3 F4 F5 F6 F7

0 0 0 1 0 0 0 0 0 0 00 0 1 0 1 0 0 0 0 0 00 1 0 0 0 1 0 0 0 0 00 1 1 0 0 0 1 0 0 0 01 0 0 0 0 0 0 1 0 0 01 0 1 0 0 0 0 0 1 0 01 1 0 0 0 0 0 0 0 1 01 1 1 0 0 0 0 0 0 0 1

F1 = x'y'z

x zy

F0 = x'y'z'

F2 = x'yz'

F3 = x'yz

F5 = xy'z

F4 = xy'z'

F6 = xyz'

F7 = xyz

Truth Table:

3-to-8Decoder

X

Y

F0

F1

F2

F3

F4

F5

F6

F7

Z

Page 90: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 91: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

Encoders

° If the decoder's output code has fewer bits than the input code, the device is usually called an encoder.

e.g. 2n-to-n

° The simplest encoder is a 2n-to-n binary encoder• One of 2n inputs = 1

• Output is an n-bit binary number

.

.

.

.

.

.

2n

inputsn outputs

Binaryencoder

Page 92: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder

°Description:

•23 = 8 inputs, 3 outputs

•one input =1, others = 0’s

•Each input generate unique binary code

8-to-3 Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

Page 93: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (truth table) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Page 94: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (truth table) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

10000000

000

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Page 95: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (truth table) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

01000000

100

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Page 96: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (truth table) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

00000100

101

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Page 97: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (truth table) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

00000001

111

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Page 98: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (equations) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Note: This truth table is not complete! Why?

Output equations:

A0 = ?A1 = ?A2 = ?

Page 99: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (equations) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Output equations:

A0 = D1 + D3 + D5 + D7

A1 = ?A2 = ?

Page 100: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (equations) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Output equations:

A0 = D1 + D3 + D5 + D7

A1 = D2 + D3 + D6 + D7

A2 = ?

Page 101: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (equations) 8-to-3

Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

inputs outputs

D7 D6 D5 D4 D3 D2 D1 D0 A2 A1 A0

0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 1 0 0 0 1

0 0 0 0 0 1 0 0 0 1 0

0 0 0 0 1 0 0 0 0 1 1

0 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 0 0 1 0 1

0 1 0 0 0 0 0 0 1 1 0

1 0 0 0 0 0 0 0 1 1 1

Output equations:

A0 = D1 + D3 + D5 + D7

A1 = D2 + D3 + D6 + D7

A2 = D4 + D5 + D6 + D7

Page 102: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

8-to-3 Encoder (circuit)

8-to-3Encoder

D0

D1

D2

D3

D4

D5

D6

D7

A0

A1

A2

Output equations:

A0 = D1 + D3 + D5 + D7

A1 = D2 + D3 + D6 + D7

A2 = D4 + D5 + D6 + D7

A0

A1

A2

D1

D3 D5 D7

D2

D3 D6

D7

D4

D5 D6

D7

Page 103: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.
Page 104: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

DeMultiplexer

• Performs the inverse of the operation of a MUX

• It has one input line, the input from which is transmitted to one of 2n output lines

• The output lines are selected based on the select inputs

E1x2

DeMUX

S

D0 D1

Page 105: 1 DLD Lecture 19 Recap II. 2 Recap °Number System/Inter-conversion, Complements °Boolean Algebra °More Logic Functions: NAND, NOR, XOR °Minimization with.

1x4 DeMUX

° The circuit has an input E, the outputs are given by:

° D0 = E, if S0S1=00 D0 = S1’S0’ E

° D1 = E, if S0S1=01 D1 = S1’S0 E

° D2 = E, if S0S1=10 D2 = S1S0’ E

° D3 = E, if S0S1=11 D3 = S1S0 E

E1x4

DeMUX

S0 S1

D0 D1

D2 D3


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