synthesizablematlab.m

Lab 2 – Synthesizable MATLAB This lab exercise will explore the effects that different MATLAB codin

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clc;clear all;close all;

% Create the filter coefficients
NUMSAMPS = 1024*2;
NUMTAPS = 32;
BE = 0.25;
b = fir1(NUMTAPS-1,BE);
state = zeros(NUMTAPS-1,1);

% Create the input stimulus
rand('state',0);
scale = 2*sqrt(12); 
x = (rand(1,NUMSAMPS)-0.5)*scale;

% Filter the data

[y,state] = filter(b,1,x,state);

% Generate power spectral density of the filter outputs
[Pout,Wout]=aw_psd(y,1024,2);

% Superimpose the actual response onto the ideal response
plot(Wout,10*log10(Pout),'r');