📄 spec1.m
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function [tfd, t, f] = spec1(x, fs, nfreq, w)% spec1 -- Compute samples of the type I spectrogram.%% Usage% [tfd, t, f] = spec1(x, fs, nfreq, w)%% Inputs% x signal vector% fs sampling frequency of x (optional, default is 1 sample/second)% nfreq number of samples to compute in frequency (optional, default% is 2^nextpow2(length(w)) )% w window vector, must have an odd length (optional, default is a % circular Gaussian window)%% Outputs% tfd matrix containing the spectrogram of signal x (optional)% t vector of sampling times (optional)% f vector of frequency values (optional)%% To compute a true type I spectrogram one must oversample the signal and % window by a factor of two. For almost all purposes one should use spec2.% If no output arguments are specified, then the spectrogram is% displayed using ptfd(tfd, t, f).% Copyright (C) -- see DiscreteTFDs/Copyrightdisp('Warning: you should probably be using spec2 instead of spec1!')error(nargchk(1, 4, nargin));if (nargin == 1) [tfd, t, f] = stft1(x);elseif (nargin == 2) [tfd, t, f] = stft1(x, fs);elseif (nargin == 3) [tfd, t, f] = stft1(x, fs, nfreq);elseif (nargin == 4) [tfd, t, f] = stft1(x, fs, nfreq, w);endtfd = real(tfd.*conj(tfd));if (nargout == 0) ptfd(tfd, t, f); clear tfdend
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