SIVA - DSP The (1D) Digital Signal Processing Gallery

SIVA - DSP
The (1D) Digital Signal Processing Gallery

Demo ideas - Prof. Al Bovik
Programmer - Umesh Rajashekar

Frequently Asked Questions

1) What software do I need and where can I find them

  • You will need MATLAB (atleast version 5.2) for running these demos. You might need the Signal and Image processing toolbox for some demos
  • MATLAB can be purchased from

2) How do run these demos ?

  • Download the zip file for the module that you are interested in. Unzip the files. You will need for unzipping these files.
  • If you download the entire gallery, add the downloaded folder to your matlab path and type "sivaDSP" in the matlab command prompt to access all demos via an interface.
  • If you download individual demos, the name of the "main" program for each of the demos ends with "_gui.m". Start MATLAB, navigate to the directory containing the demo, and type the name of this main program (e.g. s1_gui.m or gibbs_gui.m) at the MATLAB command prompt to run your demo

3) Where are the sound files and the image files for the demos

  • Download the sound and image files from the main page oror here to (in zipped format). You should be able to use any "wav" file

4)Problems / suggestions for demos

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0) or download from the list below

1)
a)sig_1_comp - Demo to illustrate analog,discrete time and digital signals
b)sig_2_comp - Sampling and quantization of audio signals
c)sig_3_comp - Hear the effects of aliasing on a sinusoid
2)
a) Illustrates Gibbs phenomenon
3)
a)Fourier analysis of standard signals (sine,square etc)
4)
a)Solutions to difference equations (zero state and zero input response)
5)
a)Effectively illustrates the effects of poles and zeros on the Z-Plane
6)
a)simp_dtft - DTFT of standard signals
b)comp_dtft - DTFT of audio signals
7)
a)1d - Reconstruction(1D) using ZOH,Linear and cubic interpolation
b)images - Reconstruction of images using ZOH,Linear and cubic interpolation
8)
a)win_types - Demonstrates various windows
b)FIR (filters)
Ìý Ìý 1)windowing -Design FIR filter using windowing
Ìý Ìý 2)f_sampl - Frequency sampling techniques of FIR filter design
Ìý Ìý 3)remez - Remez algo for FIR filter design
9)
a)Design IIR filters using bilinear mapping
10)
a) DFT od simple signals
11) MODULE 11

12)
a) Optimum (weiner) filter
13)
a) fir - Quantization (effects) of FIR filter coefficients
b) iir - Quantization (effects) of IIR filter coefficients

14)
a)decimation - Effects of decimation
b)interpolation - Effects of interpolation
c)STFT -
Ìý Ìý 1)examples - Demostrates STFT of audio signals
Ìý Ìý 2)resolution - time frequency resolution of STFT

15)
a)sound - Median filtering of audio samples
b)images - Median filtering of images



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