synthesizablematlab_script.m

This lab exercise will introduce you to the AccelWare IP generators. AccelWare is a library of over

%       AccelDSP 8.1.1 build 690 Production, compiled Apr 26 2006 
% 
%    THIS IS UNPUBLISHED, LICENSED SOFTWARE THAT IS THE CONFIDENTIAL 
%        AND PROPRIETARY PROPERTY OF XILINX OR ITS LICENSORS 
% 
%     Copyright(c) Xilinx, Inc., 2000-2006, All Rights Reserved. 
%     Reproduction or reuse, in any form, without the explicit written 
%     consent of Xilinx, Inc., is strictly prohibited. 

clc;clear all;

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

% Save the coefficients to a text file
save b.txt -ascii -double b;

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

% Filter the data
index = 1;
for i = 1:length(x)
    [yb,valid] = ddc(x(i));
    if valid == 1
        y(index) = yb;
        index = index+1;
    end
end

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

% Plot the PSD reponse of the filter
plot(Wout,10*log10(Pout),'r');

%save y.txt -ascii -double y;
y_golden = load('y.txt');

% Plot the max difference
figure;plot(y_golden(1:end-1)-y(2:end));title('Y Max Error')