scholarly journals Partitioned Block Frequency Domain Adaptive Filtering Algorithm for Nonlinear Acoustic Echo Cancellation

2015 ◽  
Vol 34 (3) ◽  
pp. 177
Author(s):  
Lee
Keyword(s):  
Frequency Domain ◽  
Adaptive Filtering ◽  
Echo Cancellation ◽  
Acoustic Echo Cancellation ◽  
Filtering Algorithm ◽  
Acoustic Echo ◽  
Nonlinear Acoustic ◽  
Block Frequency

A Variable Mode QR Decomposition Adaptive Filtering Algorithm for Acoustic Echo Cancellation

2014 ◽  
Vol 556-562 ◽  
pp. 3839-3843
Author(s):  
J.B. Li ◽  
C. Lu ◽  
Y. Zhou
Keyword(s):  
Adaptive Filtering ◽  
Input Data ◽  
Qr Decomposition ◽  
Echo Cancellation ◽  
Acoustic Echo Cancellation ◽  
Activity Detection ◽  
Filtering Algorithm ◽  
Acoustic Echo ◽  
Variable Mode ◽  
Voice Activity

This paper studies a new QR decomposition adaptive filtering algorithm for acoustic echo cancellation (AEC). Based on the p-TA-QR-LS algorithm [1] and an efficient voice activity detection technique, the proposed algorithm can distinguish the significant and insignificant input data periods. The resultant variable mode p-TA-QR-LS algorithm can work between two modes (p=1and N) and is thus suitable for AEC application where reusing significant input data can enhance convergence and the computation cost can be saved when the input is relatively weak.

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