%--------------------------------------------------------------
%
%     name: adpcm_sim.m
%     description: This simulation performs the encoding and
%                  decoding of an audio file using the ADPCM
%                  adaptive differential pulse code modulation
%                  compression algorithm.
%
%---------------------------------------------------------------

clear

%input the voice file.

%[wav_voice,Fs,bits] = wavread('d:/ron_b/audio-stuff/sine_wave.wav',2e3); %read in wave file Fs = 8Khz 8bits
%auwrite(wav_voice,Fs,8,'mu','d:/ron_b/audio-stuff/sine_wave.au'); %compress to mu-law format
%voice = auread('d:/ron_b/audio-stuff/sine_wave.au'); %read in mu-law encoded data.

%[wav_voice,Fs,bits] = wavread('c:/MATLABR11/bin/audio_samples/sine_wave.wav'); %read in wave file Fs = 8Khz 8bits
%auwrite(wav_voice,Fs,8,'mu','c:/MATLABR11/bin/audio_samples/sine_wave.au'); %compress to mu-law format
%voice = auread('c:/MATLABR11/bin/audio_samples/sine_wave.au'); %read in mu-law encoded data.

[wav_voice,Fs,bits] = wavread('c:/MATLABR11/bin/audio_samples/Apco8000.wav',[10e3 30e3]); %read in wave file Fs = 8Khz 8bits
auwrite(wav_voice,Fs,8,'mu','c:/MATLABR11/bin/audio_samples/Apco8000.au'); %compress to mu-law format
voice = auread('c:/MATLABR11/bin/audio_samples/Apco8000.au'); %read in mu-law encoded data.

mu_voice = lin2mu(voice); %convert to mu-law encoded.

lk = adpcm_encode(mu_voice);   %encode the voice signal using adpcm
recovered_voice = adpcm_decode(lk);  %decode the voice using adpcm

lin_recovered_voice = mu2lin(recovered_voice); %convert to linear

figure(9);
subplot(2,1,1),plot(voice),title('linear input data stream');
subplot(2,1,2),plot(lin_recovered_voice),title('linear decoded data stream');

sound(voice,Fs,bits); %sound the input voice.
pause
sound(lin_recovered_voice,Fs,bits); %sound the decoded voice<!--'"</title></head>-->

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