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📄 synthesizablematlab_script.m

📁 Often it is necessary to add some logical control to a MATLAB algorithm to allow the generated hardw
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%       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%    THIS IS UNPUBLISHED, LICENSED SOFTWARE THAT IS THE CONFIDENTIAL 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
for n = 1:length(x)
    if n == 1
        load_en = 1;
    else
        load_en = 0;
    end
    y(n) = synth_filter(x(n),b,load_en);
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');
figure;plot(y_golden(1:end-1)-y(2:end));title('Y Max Error')

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