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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?
Write a Matlab function that computes y1= tan(x) and y2= sin(x)/cos(x), returns the difference |y1-y2| and prints a message whether the two are equal or not. Test your function for
a. Run the simulation you developed for 10 one-day periods. Provide a table of the Peak Power required for each day. b. Based on this information, and the fact additional capaci
matlab code for path and adjancy martix between pixels
i need matab code of decision feedback equalizer
Hello! How to cipher on Matlab the message consisting eight symbols. At first the message shares on blocks. Then in each of blocks shift of symbols is carried out. The initial text
Solution by using pdepe function functionpdex1 m = 0; x = linspace(0,1,100); t = linspace(0,0.2,10); sol = pdepe(m,@pdex1pde,@pdex1ic,@pdex1bc,x,t); % Ext
could you help me object
I have a biological signal need to be shifted by 12.5 ms and then add all the shefted signals together
Variable names: Variable names are an example of the identifier names. The rules for identifier names are as shown below: (A)The name should begin with a letter of the alph
You will need to implement at least two Matlab functions: HW3main.m and svmTrain.m. The implementation details are as follows: function [alpha] = svmTrain(X,T,kernel,C,sigma) %
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