Let Rx be an M × M correlation matrix of a wide-sense (or weakly) stationary (WSS) discrete-time process computed from a data vector x(n). This symmetric and nonnegative matrix (see Problem 6.1.1) can be found as follows: We find the data vector x(n) using the MATLAB command:
x=randn(1,64). From this data vector, we first find its autocorrelation function rxx (m) = [1.0414 0.0136 0.0823] using the Book m-function:
rx=lms_sample_biased_autoc(x,3). We can also use the Book m-function:
rx=lms _ sample _ biased _ cross _ cor(x,x,3). Next, we obtain the correlation matrix Rx:
The above ...