Title :
Statistical analysis of subband adaptive filters
Author_Institution :
Interdisciplinary Fac. of Sci. & Eng., Shimane Univ., Matsue, Japan
Abstract :
This paper presents an analysis of subband adaptive digital filters (ADF) for a stationary input. First, the subband adaptive filtering scheme is reexpressed by the polyphase matrices of the filter bank and the unknown system. Based on this structure the subband ADF with cross terms is studied. Then, for the conventional subband ADF, the optimal subband filters and the time-averaged mean-squared error are treated in the frequency domain. These representations enable us to easily see the aliasing effects in subband adaptive filtering
Keywords :
adaptive filters; antialiasing; digital filters; frequency-domain analysis; least mean squares methods; matrix algebra; signal representation; statistical analysis; ADF; aliasing effects; cross terms; filter bank; frequency domain; optimal subband filters; polyphase matrices; stationary input; statistical analysis; subband adaptive digital filter; time-averaged mean-squared error; Adaptive filters; Computational complexity; Digital filters; Filter bank; Finite impulse response filter; Frequency domain analysis; Least squares approximation; Production; Signal synthesis; Statistical analysis;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-3512-0
DOI :
10.1109/TFSA.1996.546689
