DocumentCode
88613
Title
Faster Subband Signal Processing [dsp Tips&Tricks]
Author
Sallberg, B.
Author_Institution
Exaudio AB, Sweden
Volume
30
Issue
5
fYear
2013
fDate
Sept. 2013
Firstpage
144
Lastpage
150
Abstract
Subband signal processing is an important tool in numerous applications such as acoustic echo cancellation, noise reduction, signal enhancement, adaptive beam forming, and signal separation, among other applications. Subband signal processing uses a filter bank to split each input signal into a set of frequency signals, each covering a fraction of the input signal bandwidth. Subband processing provides an efficient way to divide and conquer tedious problems by a set of parallel and smaller subband algorithms. In many cases, the subband processing is performed together with decimation, which reduces the dimensionality of the data in the subband algorithm. The focus in this article is on temporal subband processing, i.e., time-frequency transformation, although spatial subband processing may also gain from the discussion here.
Keywords
adaptive filters; channel bank filters; signal processing; acoustic echo cancellation; adaptive beam forming; filter bank; frequency signals; input signal bandwidth; noise reduction; signal enhancement; signal separation; spatial subband processing; subband algorithm; subband signal processing; temporal subband processing; time-frequency transformation; Adaptive filters; Digital signal processing; Echo cancellation; Filter banks; Filtering algorithms; Least squares approximations; Signal processing algorithms;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2013.2265479
Filename
6582738
Link To Document