EEGR 451 Morgan State MARLAB Project: Digital Signal Processing PLEASE READ THESE INSTRUCTION,In this project, all the problems must be answered using MATL
EEGR 451 Morgan State MARLAB Project: Digital Signal Processing PLEASE READ THESE INSTRUCTION,In this project, all the problems must be answered using MATLAB. Work with your assigned partner. Clearly label the axes for all plotted signals. Your report should include a title page, problem statement, results clearly presented and a short ‘Conclusion’ section, with MATLAB code provided in the Appendix. Project 1
Morgan State University
Department of Electrical and Computer Engineering
EEGR 451 DSP – Spring 2019
Exercise 1: Basic digital signals
(a) Write a MATLAB program to generate and display (using the stem function) the basic
signals listed under part (c) below, first with 2 time unit delay and then with 3 time units
advance. Hard copies of sample MATLAB codes for the different basic signals are given
with this project.
(b) Write a MATLAB function [x, t] = sin_NU(f0, fs, T) to generate a sine signal. A sample
code is given for you. The output parameters x and t are the signal and time vectors,
respectively. The input parameters are f0 (signal frequency in Hz), fs (sampling frequency in
Hz), T (signal duration in sec.).
(c) Test your sin_NU function with the input parameter values of sampling frequency =1000
Hz, f0=10 Hz and T=0.5, and display the result using the plot function.
List of basic digital signals to generate:
– Dirac (Unit Response)
– Unit step (Heaviside step)
– Sign
– Rectangle
– Sine
– Sine cardinal
Exercise 2: Audio aliasing
To illustrate the aliasing phenomenon, lets perform two simple experiments allowing us to
hear it. Using the sin_NU function of Exercise 1 above:
(a) Generate two 1 kHz sine signals (2 seconds duration), first signal at 20 kHz sample
frequency and second signal at 1.5 kHz sample frequency;
(b) On the same graph, use the plot function to display the two signals versus t in the range
0 < t < 5 msec.;
(c) Listen to the two signals one after another using the function soundsc(x, fs); and
(d) Give your interpretation of this listening.
Exercise 3: Quantization
Quantization is done by replacing each value of an analog signal x(t) by the value of the
nearest quantization level. To exemplify this operation, lets simulate an unipolar ADC
(Analog to Digital Converter) having the technical specifications: R = 10 Volts (full-scale
range) and B = 3 (number of bits).
(a) Write a MATLAB function y = adc_NU(x, R, B) where x and y are vectors containing the
input signal and the quantized signal, respectively;
(b) Test your function with an input ramp signal ranging from -5 to 15 Volts (1 volt per step);
and
(c) On the same graph, use the plot and stem functions to display the input signal and
quantized signal, respectively.
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