Title :
Minimax robust time-frequency filters for nonstationary signal estimation
Author :
Matz, Gerald ; Hlawatsch, Franz
Author_Institution :
Inst. of Commun. & Radio-frequency Eng., Vienna Univ. of Technol., Austria
Abstract :
We introduce minimax robust time-varying Wiener filters and show a result that facilitates their calculation. Reformulation in the time-frequency domain yields simple closed-form expressions of minimax robust time-frequency Wiener filters based on three different uncertainty models. For one of these filters, an efficient implementation using the multi-window Gabor transform is proposed
Keywords :
Wiener filters; filtering theory; minimax techniques; signal processing; time-frequency analysis; time-varying filters; Wiener filters; closed-form expressions; minimax robust time-varying filters; multi-window Gabor transform; nonstationary signal estimation; time-frequency domain; time-frequency filters; uncertainty models; Electronic mail; Estimation; Gabor filters; Minimax techniques; Nonlinear filters; Radio frequency; Robustness; Time frequency analysis; Uncertainty; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756226
