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function y=tps(r)% This is the thin-plate splineif r < 0.000000000001 y=0;else y=r^2*log(r);endfunction y=fun(point)% my target functionx=point(1);z=point(2);y=7-4*x^2+z^3;function y=interpmat(points)% this file computes the interpolation matrix[n,m]=size(points);for i=1:nipoint=points(i,:);for j=1:njpoint=points(j,:);mat(i,j)=tps(norm(ipoint-jpoint));endmat(i,n+1)=1;mat(n+1,i)=1;mat(i,n+2)=ipoint(1);mat(n+2,i)=ipoint(1);mat(i,n+3)=ipoint(2);mat(n+3,i)=ipoint(2);endy=mat;function y=righthandside(points)% find the right hand side of the interpolation system[n,m]=size(points);for i=1:ny(i)=fun(points(i,:));endy(n+1)=0;y(n+2)=0;y(n+3)=0;function y=testinterp(n,m)% this file test our interpolation routinepoints=rand(n,2);% compute interpolation matrixmat=interpmat(points);% create the right hand siderhs=righthandside(points);solution=inv(mat)*rhs';% test solutiontpoints=rand(m,2)maxerr=testsol(points,tpoints,solution);
A filter described by the equation: y(n) = x(n) + x(n-1) + 0.9 y(n-1) - 0.81 y(n-2) (a) Find the transfer function H(z) for the filter and find the poles and zeros of the fil
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
KN match algorithm implementation in MATLAB.
For a statistically stationary environment it would be advantageous to use gear shifting, that is to reduce the adaptation gain with time. To illustrate this, try using a varying a
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Error in variables statements: Error: The expression in the left of equals sign is not a valid target for an assignment. >> By placing a semicolon at the end of the sta
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Variable numbers of arguments: In the functions there have been a fixed number of input and output arguments. For illustration, in the function below, there is one input argum
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
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