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matrix normalization
Im not sure about this solution, but lets get it try
N = 20; M = 20;
x = rand(N,M);
sigmoidX = 1./(1+exp(-x));
U'll see the different, ..but if need to normalize again the data tobe maximum 1, ..then compress the data use
sigmoidX = 1./(1+exp(-x));
sigmoidX_norm =...
Im not sure about the equation, but you can do the Symbolic, a few example
syms H w s n
tmp = (1+0.25*1e-3*n*s);
sigma = symsum(tmp,n,0,39);
H = w/(s^2+w^2)*sigma;
H_simple1 = simple(H); H_simple1
H_simple2 = simplify(H); H_simple2
you can use one of simple or simplify, wich one best for the...
@tohsauchon: What the meaning of Dynamic Function??, please explain the full detail, Hehehe..
I ussually use the symbolic variable for plotting function, cuz it run smoother, ..
syms x y z
z = x^2+16*x*y^3 + 64*y^6 + 2*(x-2*x*y-4)^4;
ezmesh(z)
you can also use the ezsurf(z), ..
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