how i implement code for y=audiorec​ord(Fs,nbi​ts,1)

close all;
clear all;
%%Variables
low_stop = 300;
high_stop = 1000;
WindowEnvelope = 0.1; % Length of envelope averaging filter window
MaximaWindow = 2.4; % Length of window to find local maxima
DownSamp = 200; % Frequency to downsampe envelope to (Hz)
Threshold = 0.2; % Percentage of mean maxima value that a
Fs = 8000; % Sampling Frequency
nbits = 8; % Bits of Precision When Sampling
WindowTime = 5; % Length of recorded time processed in each
%%Initialize
BreathCountTotal = 0;
Y = audiorecord(Fs,nbits,1);
meanbreath = 0;
%%Create Bandpass Filter
F=[(low_stop-100) low_stop high_stop (high_stop+100)]; % band limits
A=[0 1 0]; % band type: 0='stop', 1='pass'
dev=[0.0001 10^(0.1/20)-1 0.0001]; % ripple/attenuation spec
[M,Wn,beta,typ]= kaiserord(F,A,dev,Fs); % window parameters
b = fir1(M,Wn,typ,kaiser(M+1,beta),'noscale'); % filter design
%%Initialize
loopcount = 0;
EXIT = 1;
BreathTotal = [];
%%Initial Recoding   
signal = zeros(1,Fs*WindowTime);
record(y)
while EXIT == 1
%%Counter
loopcount = loopcount + 1;
%%Filter Signal
signal_f = fftfilt(b,signal);
%%Find Envelope
signal_h = hilbert(signal_f); % Hilbert Transform
envelope = sqrt(signal_h.*conj(signal_h));
envelope_f = filter(ones(1,round(Fs*WindowEnvelope))/round(Fs*.1),1,envelope);
envelope_fDS = downsample(envelope_f,round(Fs*(1/DownSamp)));
%%Find Local Maxima
windowsize = DownSamp * MaximaWindow / 4;
BreathCount = 0;
Breath = [];
for ix = 1:length(envelope_fDS) - windowsize
maxima = max(envelope_fDS(ix:ix+windowsize));
if loopcount < 2 % Ignore first 2 loops
elseif loopcount < 100 % Use next 100 loops to get breath
threshold
if maxima == envelope_fDS(ix+windowsize/2)
BreathCount = BreathCount + 1;
Breath(BreathCount) = ix + windowsize/2;
end
else % Begin using and updating threshold
if (maxima == envelope_fDS(ix+windowsize/2)) && maxima >(Threshold * meanbreath)
BreathCount = BreathCount + 1;
Breath(BreathCount) = ix + windowsize/2;
end
end
end
BreathTotal = cat(2,BreathTotal,envelope_fDS(Breath));
meanbreath = mean(BreathTotal);
if isempty(Breath) && loopcount > 100 == 1
for i = 1:10
beep
pause(.1)
end
EXIT = 0;
end
%%Keep Recording
stop(y)
signal_new = getaudiodata(y,'double');
record(y)
signal(1:end-length(signal_new)) =signal(1+length(signal_new):end);
signal(end-length(signal_new)+1:end) = signal_new;
clear signal_new
%%Plot
figure(1)
subplot(2,1,1)
signalplot = signal;
time1 = (0:length(signalplot)-1) / (Fs/4);
refresh
plot(time1,signalplot)
title('Raw Signal')
xlabel('Time (seconds)')
ylabel('Intensity')
subplot(2,1,2)
envelopeplot = envelope_fDS;
time = (0:length(envelopeplot)-1) / (DownSamp/4);
plot(time,envelopeplot)
hold on
plot(Breath/(DownSamp/4),envelope_fDS(Breath),'rx','MarkerSize',16,'linewidth',4)
title('Envelope of Breath Signal w/ Breath Markers')
xlabel('time (sec)')
ylabel('Arbitrary Units')
hold off
end

[Walter Roberson]

Please expand on your question.

For example is the question how to implement the code for audioread() yourself because you are creating code that is to be sent to FPGA using HDL, but MATLAB is telling you that it cannot generate HDL for audioread() ?

[gadhamg]

Y = audiorecord(Fs,nbits,1); error occuring in this line when I run the program. so please give correct code for sleep apnea detection

[govindaraj sangam]

I need explanation for this program

Answer 1

[Abhishek Ballaney]

https://in.mathworks.com/help/matlab/ref/audiorecorder.html

[govindaraj sangam]

Sir I need explanation for this program help me