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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?
We wish to numerically perform the following integration: (a) Use Matlab's quad function to perform the above integral. (b) Analytically evaluate the integral (e.g. do t
Using numerical techniques, plot the intensity distribution for LP 01 and LP 11 modes. Vary the value of V (reduce it to 1.5) and plot several of the intensity plots (of LP 01 )
why after i crop part of a tiff image the cropped image is of different pixel resolution
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my project is on load frequency control using FPID tuned using GA and PSO algorithm.the system is a two area system.
#defining matrix using only special commands
can i getting wirless programing in matlab
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Linspace function: Likewise, the linspace function generates a linearly spaced vector; linspace(x,y,n) generates a vector with n values in the inclusive range from x to y. For
Input Function: The Input statements read in values from the default or standard input device. In most of the systems, the default input device is the keyboard; therefore the
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