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Use the MATLAB randn function to generate 1000 points for x. Generate the output of the unknown system with the ?lter function and b=[1232 1] and a=[1]. Normalise the ?lter output so that its variance is unity, i.e. y = y./sqrt((sum(b.*b)); call the randn function again to generate 1000 points for the measurement noise, scale the values by 0.1 and add them to [ ], and calculate the Signal-to-Noise Ratio (SNR) in dB for y[k] (The power of zero mean white noise is 2 ; when a noise signal is scaled its standard deviation, i.e , gets scaled by the same factor).
- Use the xcorr function to estimate the cross-correlation and autocor relation elements to form Rxx and Pzx.
- Solve for the optimum Wiener ?lter. Is it close to that of the unknown system?
- Repeat the experiment by varying the scaling applied to the additive noise to 1.0 and 10.0, re-calculate the SNR for each case. What is the effect upon the Wiener solution? What happens if w is assumed to be greater than 4?
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Answers should be submitted in an MS Word document. Simulations should accompany answers in a separate MATLAB file. 1) Queuing Simulator: Consider a communications router that
Create MATLAB program(s) that solve a problem of your own choice. You may opt to solve work related problem, an industrial problem, or problem from your research project. Markin
Expand a matrix: To expand a matrix, an individual element could not be added as that would mean there would no longer be the similar number of values in every row. Though,
Type logical: The type logical is used to store the true/false values. If any variables have been formed in the Command Window, they can be seen at the Workspace Window. In
An FIR filter has coefficients b = [ 1.0000 -0.6387 1.0214 0.8210 -0.7470 1.0920 ] (a) Find H(z) for the filter and plot its frequency response (magnitude and phase
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Hold and legend function: hold: is a toggle which freezes the present graph in the figure window, so that the new plots will be superimposed on the present one. Just hold
You are given data similar to the examples and sample problems in the statistics topic. Write MATLAB program to do the following: 1. Plot histogram, relative frequency histogram
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