Title :
Adaptive Harmonic Fractional Fourier Transform
Author :
Zhang, Feng ; Chen, Yan Qiu ; Bi, Guoan
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
A novel adaptive harmonic fractional Fourier transform is proposed for analysis of voiced speech signals. It provides a higher concentration than STFT and avoids the cross interference components produced by the Wigner-Ville distribution and other bilinear representation. The proposed method rotates the base tone and harmonics in time-frequency domain. After the rotation, base tone and harmonics become parallel to the time axis in time-frequency domain so that a high concentration can be achieved
Keywords :
adaptive signal processing; fast Fourier transforms; speech processing; time-frequency analysis; adaptive harmonic fractional Fourier transform; base tone; time axis; time-frequency domain; voiced speech signal analysis; Acceleration; Bismuth; Fourier transforms; Harmonic analysis; Interference; Power harmonic filters; Signal analysis; Signal resolution; Speech analysis; Time frequency analysis;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.857359
