Title :
Adaptive harmonic fractional Fourier transform
Author :
Zhang, Feng ; Chen, Yan Qiu ; Bi, Guoan
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
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.
Keywords :
adaptive signal processing; harmonic analysis; signal representation; signal resolution; speech enhancement; time-frequency analysis; STFT; Wigner-Ville distribution; adaptive harmonic fractional Fourier transform; base tone; harmonics; high concentration; resolution improvement; rotation; short time Fourier transform; speech enhancement; time axis; time-frequency domain; time-frequency representation; voiced speech signal analysis; Acceleration; Bismuth; Fourier transforms; Harmonic analysis; Interference; Power harmonic filters; Signal analysis; Signal resolution; Speech analysis; Time frequency analysis;
Journal_Title :
Signal Processing Letters, IEEE
