Develop a postprocessor that has as input a file of N samples generated by a MATLAB program. The postprocessor is to be menu driven and is to generate a histogram, a PSD estimate of the input data, and the autocorrelation of the input data.
Any necessary parameters required for operation of the postprocessor are to be entered through a parameter file read by the postprocessor.
Test the postprocessor using a vector of N = 5,000 samples generated by passing N independent samples of a zero-mean, unit-variance, Gaussian process through a third-order Butterworth filter having a 3 dB break frequency of 0.2fN , where fN is the Nyquist rate.