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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?
Compare results/performance with tridiagonal Gaussian elimination solver for the problem arising from -y''=f on (0,1) with y(0)=0=y(1). You may also need to use sparse storage an
gwbasic
Error-Checking user input in the While Loop: In many applications, whenever the user is prompted to enter anything, there is a valid range of values. When the user enters a wr
Analytical solution
pairwise sequence alignment
i have a problem in doing my project which detects image forgery detection using resampling technique any one please help in writing my program
You are asked to create an american option multiplicative binomial model calculator in MatLab. Both put and call options should be valued. Given u, d, S 0 , K, r, and T (the usual
would you please send the programing code simultion
Matrices of random numbers: The Matrices of random numbers can be generated using the rand and randint functions. The first two arguments in the randint function identify the
Variable number of output arguments: The variable number of output arguments can also be identified. For illustration, the one input argument is passed to the below function t
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