p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Cambria; min-height: 14.0px} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.5px Cambria} span.s1 {font: 12.0px Cambria} The objective of this lab...

filestoup/alcuin_s1r1_w_channel.wav
filestoup/bagpipe_steady_chord.wav
filestoup/convolv_Data.m
function y=convolv_Data(xData,yData)
% Convolution of discrete signals
% function to compute the output of your
% room simulation given an input signal and
% the impulse response signal.
na=length(xData); % Get the length of the vector imp
nb=length(yData); % Get the length of the vecotr yData
%Y=zeros(na,nb+na+1); % The result of multiplication will be stored in the vector Y
l=0;y=0;
for ii=1:na
for kk=1:nb
Y(ii,kk+l)=xData(ii)*yData(kk); % Perform the multiplication element by elements
end
l=l+1;
end
for ll=1:na
y=y+Y(ll,:); % Perform the convolutions
end
filestoup/OutSignal.m
clear all; clc;
% Test your function with the anechoic voice sample and the impulse responses for the two rooms. Play
% the outputs in MATLAB and plot the output signals
[yimp,Fsim]=audioread('alcuin_s1r1_w_channel.wav');
[yData,Fs]=audioread('bagpipe_steady_chord.wav');
dt = 1/Fsim;
%%
yim=yimp(:,1);
yD= yData(:,1);
t1 =...