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 Mathworks

2) How do run these demos ?

  • Download the zip file for the module that you are interested in. Unzip the files. You will need winzip 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

4)Problems / suggestions for demos

 

0) Download the entire SIVA-DSP gallery or download from the list below

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

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

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

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

SOUND FILES
IMAGE FILES