This my audio record code and quantization code :
%record code
Fs = 1000;
nBits = 8;
nChannels = 1;
t = 3;
recObj = audiorecorder(Fs,nBits,nChannels);
set(handles.edit4,'String','Start Record');
recordblocking(recObj,t);
set(handles.edit4,'String','Finish');
myRecording = getaudiodata(recObj);
axes(handles.axes1)
plot(myRecording);
grid on;
title('Record Signal')
set(gca, 'YLim', [-2 2])
legend('Audio Signal');
handles.Fs = Fs;
handles.myRecording = myRecording;
guidata(hObject,handles);
soundsc(myRecording, Fs);
%quantization code
normal_sound = (myRecording - min(myRecording))./(max(myRecording)-min(myRecording));
level = 255;
range = 1/level;
quantized_sound = floor(normal_sound ./ range);
My question is how to do de-quantization based on my quantization code? Thanks before

Antworten (1)

Pavel Zaviska
Pavel Zaviska am 15 Apr. 2021

0 Stimmen

Hi, several algorithms for Audio dequantization based on signal sparsity have been proposed in the paper "Audio Dequantization Using (Co)Sparse (Non)Convex Methods". The MATLAB source codes are freely available on Github: https://github.com/zawi01/audio_dequantization
Even though the quantization scheme used in the paper is slightly different (standard Mid-riser quantizer), the codes can be easily edited (especially the projection functions) to work for arbitrary quantization scheme, assuming that quantization levels are known.

Kategorien

Mehr zu Signal Processing Toolbox finden Sie in Hilfe-Center und File Exchange

Gefragt:

am 8 Jul. 2019

Beantwortet:

am 15 Apr. 2021

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by