Practical normalization methods in the digital computation of the fractional Fourier transform

Two practical normalization methods are presented in the digital computation of the fractional Fourier transform (FRPT). One is called as discrete scaling method. The other is called as data zero-padding/interception method. Furthermore, the paper analyses their effect on parameter estimation of the chirp signal. Finally, these methods are verified by the simulation examples. The paper solves an important problem in the practical application of the FRFT digital computation, and makes the FRFT more practical in digital signal processing.