Title :
Spectral analysis of subband adaptive digital filters
Author :
Ohno, Shuichi ; Sakai, Hideaki
Author_Institution :
Dept. of Math. & Comput. Sci., Shimane Univ., Matsue, Japan
fDate :
1/1/2000 12:00:00 AM
Abstract :
Subband adaptive digital filters at stationary points are analyzed in the frequency domain. Approximate expressions for the optimal subband filters are presented, and then, a spectral representation of the error variance is derived. These are expressed in the frequency domain and, hence, enable us to see the aliasing effects in subband adaptive filtering
Keywords :
adaptive filters; adaptive signal processing; circuit optimisation; digital filters; error analysis; filtering theory; frequency-domain analysis; least mean squares methods; signal representation; spectral analysis; LMS algorithm; aliasing effects; approximate expressions; error variance; frequency domain analysis; least mean-squared algorithm; optimal subband filters; spectral analysis; spectral representation; stationary points; subband adaptive digital filters; subband adaptive filtering; Adaptive filters; Adaptive systems; Additive noise; Convergence; Digital filters; Filter bank; Frequency domain analysis; Mathematics; Signal processing; Spectral analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
