MATLAB_Assignment_1_Due_Jan_28_2009

# MATLAB_Assignment_1_Due_Jan_28_2009 - t = 1:0.001:10 DO...

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MATLAB Assignment #01 ECSE-2410 Signals & Systems – Spring 2009 Due: Wed 01/28/09 For the following MATLAB Problems, make sure to label axes and show titles. Also, use the subplot command to put several graphs on one plot. 1(25). Use MATLAB and the symbolic toolbox to plot the following signals. Hint: ezplot command will be useful (a) h(t) = u(t) – u(t-1) (b) y(t) = tu(t) – (t-1)u(t-1) – u(t-2) (c) ) ( ) ( ) ( t u e t u e t v t t - + - = . Plot this signal with time ranging from -10 to 10. 2(25). Given the signal shown, (a) Express ) ( t x in terms of step functions (By Hand). (b) Plot x(t) in MATLAB Hint: Use the heaviside command in the symbolic toolbox (Make sure to declare symbolic variables, and to use ezplot instead of plot). (c) Using MATLAB, find the equation for dt t dx t w ) ( ) ( = in terms of step and delta functions. Hint: Use diff command in symbolic toolbox, write down result (d) Plot ) ( t w using MATLAB 3(25). Plot the signal x(t) = e t by using a time vector

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Unformatted text preview: t = 1:0.001:10 . DO NOT use the symbolic toolbox for this problem. Note that this signal is actually a sampled version of a continuous time signal. The smaller the time increment, the more closely this discrete time signal resembles the actual continuous time signal. Discrete time signals and sampling will be covered later in the course, but it is important to realize that most practical signals we deal with are sampled versions of continuous time signals. Use Matlab to find the odd and even parts of the signal and plot all three signals in the same figure window using the subplot command. Hint: fliplr command 4(25). Use MATLAB to find the convolution ) ( ) ( ) ( t h t x t y = , where x(t) = e t and h(t) = sin(t) . Use a time vector t = 1:0.001:10. Plot each signal in the same figure window using subplot and label each plot appropriately. DO NOT use symbolic toolbox here....
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## This note was uploaded on 05/03/2009 for the course ECSE 2410 taught by Professor Wozny during the Spring '07 term at Rensselaer Polytechnic Institute.

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MATLAB_Assignment_1_Due_Jan_28_2009 - t = 1:0.001:10 DO...

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