What You Will 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
Description
Scilab: Basic Operations on Discrete-Time Signal, Delay, Advance, and Folding using Scilab, Plotting Signals, Scilab Installation, Scilab Introduction
Scilab Implementations of Elementary Discrete-time Signals: Unit Sample, Unit Step, Unit Ramp and Exponential
Scilab 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 2Fmax
Scilab Implementation of Convolution with Predefined Function, conv scilab function, zero padding, Verifying output with Matrix method
Scilab Implementation of Convolution without Predefined Function, Conditions for Zero Padding, Identifying Response of System using Convolution Summation
Correlation 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 Scilab
Identifying Fourier Transform using Scilab, Signal Representation in Fourier Domain
Scilab Demonstrations of Discrete Fourier Transform, Inverse Discrete Transform, Magnitude Response, Phase Response, Circular Convolution using DFT and IDFT
Scilab Console, Writing Programs using Scilab, Implementation of basic signal processing operations
Who Should Attend!
- Beginner in Signal Processing Domain
