Recent content by nikki92

I have MATLAB R2013a. I am wondering why dmcode will not work.

Basically x= randn(100,15) x_centered=(eye(100)-(1/100)*ones(100,100))*x to subtract the mean to center the data [s,d,v]=svd(x_centered); I need to find the principal components which just the eigenvalues but according to my professor {divi}for i = 1 to 15. Then I am asked what is the pca...

Homework Statement How do I find the error of the PCA? ||x1hat - x1||^2 + ...+ ||xnhat-xn||^2 so xnhat is the pca one. What is xn?

If I am trying to find the steady state coefficients of a filter, when do I know the coefficients went into the steady state? In another words, steady state means it converged to a single value or that it is bounded between values? If say it is bounded between values how would I go about...

Thanks I understand it much better now.

There is really no details on the problem as it was not really homework.But I assumed n=1 to N and each were equally likely. I do not understand your approach.

Homework Statement x=cos(2n*pi/n) E[x]=0; The Attempt at a Solution

I am not having trouble getting a function for auto-correlation, I am just not sure how to code u(n) in a way to input it into xcorr, also how would I represent v(n) in a way so it remains uncorrelated with s(n).

Homework Statement u(n) = .4s(n)+.7s(n) -.1s(n-2)+v(n) where v(n) is zero mean and has variance 0.003 and uncorrelated with s(n) I want the autocorrelation is E[u(n-k)u(n)] I can solve it easily by hand which is the follow so r(k) = 0.663 for k =0, 0.21 for k=1 , -0.04 for k=2 and the rest...

Thanks! So the power is simply represented by the real part?

Using a MVDR method for a uniformly spaced linear array of sensors, I calculated the optimal weights. The procesing gain is (SIR)out / (SIR)in . The value turned out complex. Is this possible/makes sense?

H(jw)=jw/(jw+1/RC) H(jw) = jw[C/(Rs+c)]/ {jw +Rsc/[(Rs+c)R ]} H(jw) = {[1/(R1C1)] - w^2 } / {1/(R1C1) - w^2 +jw/(R2C1)}

Homework Statement RC parallel circuit with the resistor first and the capacitor next. find the transfer function H(jw) resistor first then capacitor transfer function of a circuit with resister serial then capacitor and resister parallel I have absolutely no background in...

I have a linear question A*F =R where R is the diagonal 11 x 11 matrix A is 9X11 and F is 9X1. This system is over determined. I am confused on how to get the values of F . I get that F =[(A'A)^-1 ]A' R which gives me a 9 x 11 matrix which does not make sense .

Find the mean square error using the pseudo inverse approach. I am given a 11X9 matrix A, a 11X1 vector F and R = 11X11 diagonal matrix so Rhat = A[(A'A)^-1 ]A' R . Then I get a 11X11 matrix. Shouldn't I get getting a 8X11 matrix How do I get the most optimum vector F?