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Anna university
**Specialization:
**Electronics and Communication Engineering**Offline Downloads:
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Page-1

- Introduction - ( 1 - 2 )
- Generation of Signals - ( 3 - 6 )
- Generations of Elementary Sequences - ( 7 - 9 )
- Basic Operations on Signals - ( 10 - 17 )
- Correlation - ( 18 - 20 )
- Linear Convolution - ( 21 - 22 )
- Circular Convolution - ( 23 - 25 )
- Sampling and Effect of Aliasing - ( 26 - 27 )
- DFT/IDFT of a sequence without using the inbuilt functions - ( 28 - 30 )
- Implementation of FFT of given Sequence - ( 31 - 37 )
- FIR Filter Design - ( 38 - 47 )
- Implementation of Bandpass FIlter - ( 48 - 49 )
- Implementation of Bandstop Filter - ( 50 - 52 )
- Implementation of Chebyshev - ( 53 - 55 )
- Interpolation - ( 56 - 57 )
- Decimation - ( 58 - 59 )
- Equalization - ( 60 - 62 )
- DSP Processor Based Implementation - ( 63 - 68 )
- MAC operation using various addressing modes - ( 69 - 72 )
- Convolution - ( 73 - 78 )
- Wave Generation - ( 79 - 81 )
- Implementation of Filter - ( 82 - 88 )

Experiment:

EC 6511 DIGITAL SIGNAL PROCESSING
LAB MANUAL

EC 6511 DIGITAL SIGNAL PROCESSING LAB MANUAL
INTRODUCTION
MATLAB stands for MATrix LABoratory. It is a technical computing environment for high
performance numeric computation and visualisation. It integrates numerical analysis, matrix
computation, signal processing and graphics in an easy-to-use environment, where problems and
solutions are expressed just as they are written mathematically, without traditional programming.
MATLAB allows us to express the entire algorithm in a few dozen lines, to compute the solution
with great accuracy in a few minutes on a computer, and to readily manipulate a threedimensional display of the result in colour.
MATLAB is an interactive system whose basic data element is a matrix that does not require
dimensioning. It enables us to solve many numerical problems in a fraction of the time that it
would take to write a program and execute in a language such as FORTRAN, BASIC, or C. It
also features a family of application specific solutions, called toolboxes. Areas in which
toolboxes are available include signal processing, image processing, control systems design,
dynamic systems simulation, systems identification, neural networks, wavelength
communication and others. It can handle linear, non-linear, continuous-time, discrete-time,
multivariable and multirate systems. This chapter gives simple programs to solve specific
problems that are included in the previous chapters. All these MATLAB programs have been
tested under version 7.1 of MATLAB and version 6.12 of the signal processing toolbox.
MATLAB COMMANDS:
S.SUMATHI , AP/ECE
Page 2

EC 6511 DIGITAL SIGNAL PROCESSING LAB MANUAL
GENERATION OF SIGNALS
1.A. CONTINUOUS TIME SIGNAL
Aim
To Generate a continuous sinusoidal time signals Using MATLAB.
Requirements
Matlab 2007 SOFTWARE
Procedure
1. OPEN MATLAB
2. File
New
Script.
a. Type the program in untitled window
3. File
4. Debug
Save
type filename.m in matlab workspace path
Run. Wave will displayed at Figure dialog box.
Theory
Common Periodic Waveforms
The toolbox provides functions for generating widely used periodic waveforms:sawtooth
generates a sawtooth wave with peaks at ±1 and a period of 2π. An optional width parameter
specifies a fractional multiple of 2π at which the signal's maximum occurs. square generates a
square wave with a period of 2π. An optional parameter specifies duty cycle, the percent of the
period for which the signal is positive.
Common Aperiodic Waveforms
The toolbox also provides functions for generating several widely used aperiodic waveforms:
gauspuls generates a Gaussian-modulated sinusoidal pulse with a specified time, center
frequency, and fractional bandwidth. Optional parameters return in-phase and Quadrature pulses,
the RF signal envelope, and the cutoff time for the trailing pulse envelope. chirp generates a
linear, log, or quadratic swept-frequency cosine signal. An optional parameter specifies
alternative sweep methods. An optional parameter phi allows initial phase to be specified in
degrees.
Program %
S.SUMATHI , AP/ECE
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EC 6511 DIGITAL SIGNAL PROCESSING LAB MANUAL
% Assuming The Sampling frequency is 5 Mhz
clc;
clear all;
clear all;
Finput = 1000;
t = 0:0.0005:1;
Fsampling = 5000000;
a = 10
Tsampling = 1 / Fsampling;
f = 13;
Nsample = Fsampling/ Finput;
xa = a*sin(2*pi*f*t);
N = 0:5*Nsample-1;
subplot(2,1,1)
x=sin(2 * pi * Finput * Tsampling * N);
plot(t,xa);grid
plot(x); title('Sine Wave Generation');
xlabel('Time, msec');
xlabel('Time -- >');
ylabel('Amplitude');
ylabel('Amplitude-- >');
title('Continuous-time signal x_{a}(t)');
grid on;
axis([0 1 -10.2 10.2])
Result
Thus the Continuous Time Signal was generated using MATLAB.
S.SUMATHI , AP/ECE
Page 4

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