Title :
A new frequency-domain LMS adaptive filter with reduced-sized FFT´s
Author :
Ochi, Hiroshi ; Bershad, Neil J.
Author_Institution :
Fac. of Eng., Ryukyus Univ., Okinawa, Japan
fDate :
30 Apr-3 May 1995
Abstract :
This paper proposes a new type of frequency-domain LMS adaptive filter incorporating the FFT. In comparison with conventional FFT-based adaptive filters, the proposed scheme requires much smaller-sized FFT´s in carrying out a system identification, so that it is more suitable for LSI implementations. The convergence proof and steady-state analysis with regard to a mean square error are given. In order to show the efficiency of the proposed method, several computer simulation results are also shown
Keywords :
adaptive filters; fast Fourier transforms; frequency-domain analysis; least mean squares methods; FFT; LSI; computer simulation; convergence; frequency-domain LMS adaptive filter; mean square error; steady-state analysis; system identification; Adaptive filters; Computer simulation; Filter bank; Finite impulse response filter; Frequency domain analysis; Least squares approximation; Signal processing; Steady-state; System identification; Time domain analysis;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.523716
