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Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low...

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Page 1: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.
Page 2: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Project Presentation Discrete Time Signal Processing

The Designing Of Audio Equalizers Using Low Pass, High

Pass & Band-pass Filters

by

Muhammad Akbar Ali Khan & Muhammad Ashfaq

Page 3: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Abstract

Description 3-band Simplest multiband equalizer

Low Pass Filter

Band Pass Filter

High Pass Filter

Woofer

Mid Rang

e Speaker

Tweeter

sound

Page 4: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Why we chose this topic

WE have a “little!” study of the low-pass ,high-pass and band-pass filters in various DSP courses , so instead of selecting some robot-science-oriented project, we tried to do something related…

Page 5: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Introduction Background study Equalization :is the process of changing

the frequency envelope of a sound in audio processing. In passing through any channel, an audio signal will "spread" from its original qualities. The goal of equalization is to correct, or make equal,

the frequency response of a signal. Some kinds of EQ

A peaking equalizer A parametric equalizer Shelving-type equalizers Graphic equalizers

Page 6: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Introduction(cont’d)

Applications Equalization is used to compensate for

the discrepancies of a room’s acoustics Early telephone systems used

equalization to correct for the reduced level of high frequencies in long cables.

live event, where microphones and speakers operate simultaneously.

Equalization was also applied to correct the response of the transducers

Page 7: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Methodology

Explaining your approach / algorithm

Designing Equalizer in Maltlab Use of filters.

Designing Equalizer in VDSP++ Using FDA tool, designing filters. Importing filters to VDSP++.

Page 8: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Block diagram of the whole project

Sound file

Low pass filter

High pass filter

Band pass filter Convolutionprocess

WriteTo file

Page 9: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Explanation of The Approach we Used:

[x,fs]=wavread('sound.wav'); Wn=0.30; N=150; gLP=1; gBP=1.5; gHP=1.5; LP=fir1(N,Wn); Wn1=[.30,.70]; BP=fir1(N,Wn1); Wn2=0.70; HP=fir1(N,Wn2,'high'); figure(1) freqz(LP); figure(2)

freqz(BP); figure(3) freqz(HP); y1=conv(LP,x); y2=conv(LP,x); y3=conv(LP,x); yA=gHP*y3; wavwrite(yA,fs,'Equlizer3'); yB=gHP*y1; wavwrite(yB,fs,'Equlizer1'); yC=gHP*y2; wavwrite(yA,fs,'Equlizer2'); yD=yA+yB+yC; wavwrite(yD,fs,'Equlizer4');

Page 10: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Results And Discussion

Page 11: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Results And Discussion (cont’d)

Matlab Code Simulation

Page 12: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Results And Discussion (cont’d)

VDSP++ Simulation

Page 13: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Sound effects for an equalizer

Input Sound file Low Pass Output Band Pass Output High Pass Filter Total Output

Page 14: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

References

Websites www.google.com www.wikipedia.com Books “Discrete Time Signal Processing” By

Alan V Oppenheim. “DSP First” By James H. McClellan,

Ronald W. Schafer & Mark A. Yoder.

Page 15: Project Presentation Discrete Time Signal Processing The Designing Of Audio Equalizers Using Low Pass, High Pass & Band-pass Filters by Muhammad Akbar.

Thanks.


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