How do I read and split an audio file into four different frequency ranges?
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sangeet sagar
el 14 de Sept. de 2018
Comentada: Star Strider
el 17 de Sept. de 2018
I have an audio file of sampling frequency as 16 kHz. Now I would like to read it and split its samples into four range. Namely:
0 kHz - 1 kHz
1 kHz - 2 kHz
2 kHz - 4 kHz
4 kHz - 8 kHz
I have come about the following code but I am not sure if it is correct? I wanted to know if there is any other way.
[signal,fs]=audioread('003.wav');
SigFD = (signal);
n = length(signal); % number of samples
deltaF = fs/n; % frequency resolution
F = [0:floor(n/2)-1, -(floor(n/2)):-1]*deltaF; % frequency vector
lowF = 0; % lowF and highF defines one of the range
highF = 1000;
part1Range = abs(F)>lowF&abs(F)<highF;
Fpart1 = F(part1Range);
Sig1FD = SigFD(part1Range);
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Star Strider
el 14 de Sept. de 2018
7 comentarios
Star Strider
el 17 de Sept. de 2018
As always, my pleasure.
The first filter is a simple lowpass filter with a passband a 1 kHz. You can use this prototype code to design it.
This designs the second filter:
Fs = 1.6E+4; % Sampling Frequency (Hz)
Fn = Fs/2; % Nyquist Frequency (Hz)
Fnotch = 1.5E3; % Notch Frequency (Hz)
BW = 1E+3; % Passband Width (Hz)
Ws = [Fnotch-BW/2-1 Fnotch+BW/2+1]/Fn; % Passband Frequency Vector (Normalised)
Wp = [Fnotch-BW/2-5 Fnotch+BW/2+5]/Fn; % Stopband Frequency Vector (Normalised)
Rp = 1; % Passband Ripple (dB)
Rs = 150; % Stopband Attenuation (dB)
[n,Wp] = ellipord(Wp,Ws,Rp,Rs); % Default Here Is A Bandpass Filter
[z,p,k] = ellip(n,Rp,Rs,Wp);
[sos,g] = zp2sos(z,p,k); % Use Second-Order-Section Implementation For Stability
% s_filtered = filtfilt(sos,g,s); % Filter Signal (Here: ‘s’)
figure
freqz(sos, 2^14, Fs) % Bode Plot Of Filter
set(subplot(2,1,1), 'XLim',[0 Fn]) % Optional, Change Limits As Necessary For Best Resolution
set(subplot(2,1,2), 'XLim',[0 Fn]) % Optional, Change Limits As Necessary For Best Resolution
The others are the same except for the centre frequencies and the bandwidths.
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