A Method for Reduced Finite Precision Effects in Parallel Filtering Echo Cancellation

The two-path algorithm is an adaptive filter algorithm based on a parallel filter structure, which has been found to be useful for line echo cancellation as well as for acoustic echo cancellation. It is well known that in finite precision arithmetic, the adaptation process of adaptive algorithms can...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. 1, Fundamental theory and applications Fundamental theory and applications, 2007-09, Vol.54 (9), p.2011-2018
Main Authors: Lindstrom, F., Schuldt, C., Langstrom, M., Claesson, I.
Format: Article
Language:English
Subjects:
Acoustic signal detection
Adaptive filtering
Adaptive filters
Algorithms
Arithmetic
Cancellation
Computer simulation
Detectors
echo cancellation
Echo cancellers
Filtering
Filtering algorithms
Filtration
fix-point arithmetic
fixed point
Least squares approximation
LMS
Mathematical analysis
Mean square error methods
NLMS
parallel filters
parallell filters
precision
Quantization
shadow filter
stalling
Steady-state
two-path
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Summary:The two-path algorithm is an adaptive filter algorithm based on a parallel filter structure, which has been found to be useful for line echo cancellation as well as for acoustic echo cancellation. It is well known that in finite precision arithmetic, the adaptation process of adaptive algorithms can be reduced or even halted due to finite precision effects. This paper proposes a variant of the two-path scheme where the effects of quantization are reduced, without any significant increase in complexity. The improvement is shown by simulations using bandlimited flat spectrum noise as well as real speech signals.
ISSN:1549-8328
1057-7122
1558-0806
DOI:10.1109/TCSI.2007.904664