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--- a/fourier/chirpzt.m +++ b/fourier/chirpzt.m @@ -15,15 +15,15 @@ % c : Coefficient vector. % % `c = chirpzt(f,K,fdiff,foff)` computes *K* samples of the discrete-time -% fourier transform DTFT *c* of *f* at values $c(k+1)=F(2*pi*(foff+k*fdiff))$ +% fourier transform DTFT *c* of *f* at values $c(k+1)=F(2\pi(f_{off}+kf_{diff}))$ % for $k=0,\dots,K-1$ where $F=DTFT(f)$. Values `foff` and `fdiff` should % be in range of $0-1$. If `foff` is ommited or empty, it is considered to % be 0. If `fdiff` is ommited or empty, *K* equidistant values -% $c(k+1)=F(2*pi*k/K)$ are computed. If even *K* is ommited or empty, +% $c(k+1)=F(2\pi k/K)$ are computed. If even *K* is ommited or empty, % input length is used instead resulting in the same values as `fft` does. % % `c = chirpzt(f,K,fdiff,foff,fs)` computes coefficients using frequency -% values relative to *fs* $c(k+1)=F(2*pi*(foff+k*fdiff)/fs)$ for $k=0,\dots,K-1$. +% values relative to *fs* $c(k+1)=F(2\pi(f_{off}+kf_{diff})/fs)$ for $k=0,\dots,K-1$. % % The input *f* is processed along the first non-singleton dimension or % along dimension *dim* if specified.