Title :
Frequency-domain forward/backward LMS adaptive predictors with reduced complexity
Author_Institution :
Dept. of Syst. Eng., Ajou Univ., Suwon, South Korea
fDate :
6/11/1998 12:00:00 AM
Abstract :
The implementation of forward/backward least mean square linear predictors in the frequency-domain is known to require two DFT/FFT operations. Here, computationally efficient structures are derived using proper data augmentation methods. As a result, the following are achieved: (i) reduction of a DFT/FFT operation; and (ii) further reduction in complexity when the input signal is real-valued
Keywords :
adaptive signal processing; discrete Fourier transforms; frequency-domain analysis; least mean squares methods; prediction theory; computationally efficient structures; data augmentation methods; forward/backward LMS adaptive predictors; frequency-domain implementation; linear predictors; real-valued input signal;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980881
