Adaptive harmonic fractional Fourier transform
Feng Zhang, Yan Qiu Chen, Guoan Bi · IEEE Signal Processing Letters · 1999
A novel adaptive harmonic fractional Fourier transform is proposed for analysis of voiced speech signals. It provides a higher concentration than the short time Fourier transform (STFT) and avoids the cross interference components produced by the Wigner-Ville distribution and other bilinear representations. The proposed method rotates the base tone and harmonics in time-frequency domain. After the rotation, base tone and harmonics become in parallel to the time axis in time-frequency domain so that a high concentration can be achieved.