Digital Signal Processing Using Scilab

Programming in Scilab

What you'll learn

Basic Operations on Discrete-Time Signal

Verification of Sampling Theorem

Scilab Implementation of Convolution, Correlation of Two Sequences, Cross Correlation, Autocorrelation, z-Transform, Pole-Zero Plot

Discrete Fourier Transform, Inverse Discrete Transform, Magnitude Response, Phase Response, Circular Convolution using DFT and IDFT

Requirements

No Programming Experience Needed. Basic Knowledge of Digital Signal Processing Required

Description

Scilab: Basic Operations on Discrete-Time Signal, Delay, Advance, and Folding using Scilab, Plotting Signals, Scilab Installation, Scilab IntroductionScilab Implementations of Elementary Discrete-time Signals: Unit Sample, Unit Step, Unit Ramp and ExponentialScilab Implementations of Graphical Representation of Continuous Signal, Discrete-Time Signal, Even and Odd Signals, Verification of whether Signal is Even or not.Verification of Sampling Theorem, Sampling of Analog Signal, Sampling of Signal at Fs less than 2Fmax, Sampling of Signal at Nyquist Rate Fs=2Fmax, Sampling of Signal at Fs greater than 2FmaxScilab Implementation of Convolution with Predefined Function, conv scilab function, zero padding, Verifying output with Matrix methodScilab Implementation of Convolution without Predefined Function, Conditions for Zero Padding, Identifying Response of System using Convolution SummationCorrelation of Two Sequences, Cross Correlation, Autocorrelation, xcorr function, Correlation using predefined function, Scilab implementation of Correlation operation.Scilab code for finding z-Transform, Scilab code for demonstration of convolution property of z-transform, Defining functions in Scilab.Scilab demonstration of Pole-Zero Plot, Creating Polynomials in Scilab, Numerator Polynomial, Denominator Polynomial, System Function in ScilabIdentifying Fourier Transform using Scilab, Signal Representation in Fourier DomainScilab Demonstrations of Discrete Fourier Transform, Inverse Discrete Transform, Magnitude Response, Phase Response, Circular Convolution using DFT and IDFTScilab Console, Writing Programs using Scilab, Implementation of basic signal processing operations

Overview

Section 1: Discrete-Time Signal

Lecture 1 Basic Operations on Discrete-Time Signal

Lecture 2 Elementary Discrete-time Signals

Lecture 3 Continuous Signal, Discrete-Time Signal, Even and Odd Signals

Section 2: Sampling Theorem

Lecture 4 Sampling Theorem, Sampling of Analog Signal

Section 3: Convolution of Discrete-Time Signals

Lecture 5 Convolution with Predefined Function

Lecture 6 Convolution without Predefined Function

Section 4: Correlation of Two Sequences

Lecture 7 Correlation of Two Sequences, Cross Correlation, Autocorrelation

Lecture 0 z-Transform, convolution property of z-transform

Lecture 0 Pole-Zero Plot

Lecture 0 Signal Representation in Fourier Domain

Lecture 0 Discrete Fourier Transform, Inverse Discrete Transform

Beginner in Signal Processing Domain