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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?
Plot way forms for the following modulation schemes using Matlab: a) 2 ASK b) BFSK c) BPSK 4 ASK
Illustration of Input function: For illustration, >> rad = input('Enter the radius: ') Enter the radius: 5 rad = 5 If character or string input is preferred, 's' s
Example of Printing vectors: For vectors & matrices, even though formatting cannot be specified, the disp function may be simpler to use in common than fprintf as it displays
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A three degree of freedom system is shown in Figure. The three masses are each 1 kg and are constrained to move in the directions shown. The three stiffnesses are 5 kN/m, 50 k
matlab programming
Plot way forms for the following modulation schemes using Mathlab: a) 2 ASK b) BFSK c) BPSK 4 ASK
Illustration of Output statements: For illustration, >> disp('Hello') Hello >> disp(4^3) 64 The formatted output can be printed to the screen by using the fpr
Goal: Learn how to do statistics, sorting and curve fitting in Matlab. Put all of those ".m" files in a folder called yourname_lab7, and zip the folder and submit it on the class w
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