DSP Correlation analysis

DSP Correlation analysis. The first part of the problem requires analylitical solving, the second the use of Matlab is required. See word document attached. The problem is sourced directly from 'Digital Signal Processing using Matlab' by Ingle/Proakis

Design a highpass FIR filter using Kaiser window design technique and MatLab

Design a highpass FIR filter using Kaiser window design technique. This problem is from the textbook 'Digital Signal Processing using MatLab' by Ingle/Proakis. Design a highpass FIR filter using Kaiser window design technique. The specifications are: Stopband edge: 0.4pi;, As = 60dB Passband edge: 0.6pi;, Rp = 0.5dB Where As = Stopband attenuation in dB And Rp = Passband ripple in dB Plot the magnitude response (in dB) and the impulse response of the designed filter using MatLab.

Plot the magnitude and phase of Y (e j w) using Matlab

Plot the magnitude and phase of a function Y (e j w) using Matlab. See attached Word file.

Auto_Crosscorrelation problem

For the following sequences m(k) = (0.9)k, 0 ≤ k ≤ 20; z (k) = (0.8)-k, -20 ≤ k ≤ 0 Determine 1. The autocorrelation sequences rmm (n) and rzz (n) 2. The crosscorrelation sequence rmz (n) 3. What do you observe? From 'Digital Signal Processing using MatLab' by Ingle/Proakis

FIR filter using Parks-McClellan algorithm

See attached word document. The problem is taken from 'Digital Signal Processing using Matlab' by Ingle/Proakis. 1. A digital signal y(k) contains a sinusoid of frequency π/2 and a zero mean unit variance Guassian noise w(k), i.e. y(k) = 2cos(π k/2) + w(k) We want to filter out the noise component using 50-th order casual and linear phase FIR filter (a) Using Parks-McClellan algorithm, design a narrow bandpass filter with Passband width of no more than 0.02π and Stopband attenuation of at least 30dB. Note that no other parameters are given, and you have to choose the remaining parameters for the remez function to satisfy the given requirements. Provide a plot of the lo... click for more