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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?
function y=tps(r) % This is the thin-plate spline if r y=0; else y=r^2*log(r); end function y=fun(point) % my target function x=point(1); z=point(2); y=7-4*x^2+z^3;
This can be done from the command line or from a makefile. You require a script (filename.m). Just type at the command line, or contain in the makefile: matlab
Solve the optimality condition for each P equation against M according to the following relation: Condition for Optimality: ∇ M = λ ∇ P with respect to C and T.
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how to implement 3 out of 4 visual cryptography in MATLAB?
First order differential equations: Euler's method Finally, we consider ?nding the numerical solution for a ?rst order differential equation given an initial value. We consider
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Illustration of script: For illustration, we will now generate a script known as script1.m which calculates area of the circle. It assigns a value for the radius, and then com
An electric overhead traveling crane, consisting of a girder, trolley, and wire rope, is shown in figure. The girder has a flexural rigidity (EI) of 6x10 12 lb.in 2 and a span (L
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