📄 rihaczek1.m
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function [tfd, t, f] = rihaczek1(x, fs, nfreq);% rihaczek1 -- Compute samples of the type I Rihaczek distribution.%% Usage% [tfd, t, f] = rihaczek1(x, fs, nfreq)%% 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 the length of x)%% Outputs% tfd matrix containing the Rihaczek distribution of signal x. If x has% length N, then tfd will be nfreq by N. (optional)% t vector of sampling times (optional)% f vector of frequency values (optional)%% If no output arguments are specified, then the Rihaczek distribution is % displayed using ptfd(tfd, t, f).% Copyright (C) -- see DiscreteTFDs/Copyright% specify defaultsx = x(:);N = length(x);error(nargchk(1, 3, nargin));if (nargin < 3) nfreq = N;endif (nargin < 2) fs = 1;end X = fft(x,nfreq);tfd = (conj(X) * x.') .* exp(-j*[0:2*pi/nfreq:2*pi*(1-1/nfreq)]'*[0:N-1]);tfd = tfdshift(tfd)/nfreq;t = 1/fs * (0:N-1);f = -fs/2:fs/nfreq:fs/2;f = f(1:nfreq);if (nargout == 0) ptfd(tfd, t, f); clear tfdend
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