SignalUtils

Compute the chirp z transform of Src and place it in aResult. Chirp z transform transforms the time domain signal Src in to frequency domain. (as does FFT). FStart is the starting frequency and FStop is the stop frequency. k defines the number of steps within that frequency band. FS is the sampling frequency. RStart is the starting radius of the circle in the z-domain and RStop is the final radius of the circle in the z-domain. CZT does the same as the FFT algorithm, if k = Src.Length*0.5, FStart = 0 and FStop = FS/2. and Src.Length is power of two. CZT is slower, but more versatile then FFT. It can be faster then FFT, for large zero padding factors. 

Chirp transform algorithm was first proposed by Bluestein. Generalization of the algorithm called Chirp-Z transform obtains samples of the z-transform spaced equally in angle on a spiral contour in z-plane. More on this subject can be found in [1] (p. 629) and [2] (p. 393). Rabiner [2] proposed the CZT algorithm. 

References:  

[1] Discrete-time signal processing, Oppenheim and Schafer, Prentice-Hall, 1989.  

[2] Theory and application of digital signal processing, Lawrence R. Rabiner and Bernard Gold. Prentice-Hall, 1975.

FrequencyResponse

Functions