A SPARSENESS CONTROLLED PROPORTIONATE ALGORITHM

FOR ACOUSTIC ECHO CANCELLATION

1

Pradeep Loganathan, Andy W.H. Khong, Patrick A. Naylor

pradeep.loganathan@ic.ac.uk, andykhong@ntu.edu.sg, p.naylorg@ic.ac.uk

Contents

Introduction

Review of NLMS & PNLMS

The SC-PNLMS algorithm

Simulation Results

Complexity

Conclusion

2A Sparseness Controlled Proportionate Algorithm for AEC

Improving the performance of PNLMS

Sparse → low value of ρ Dispersive → high value of ρ

3

Normalized misalignment:22

22

ˆ|| ( ) ( ) ||( )|| ( ) ||n nn

n

h h

h

1

0

( )( ) , 0,1,..., 1( )

ll L

ii

nq n l Ln

0 1 1

ˆ ˆ ˆ( ) max max ,| ( ) |,...,| ( ) | ,| ( ) |l L Ln h n h n h n

PNLMS:

A Sparseness Controlled Proportionate Algorithm for AEC

Conclusion

4

Algorithms developed for mobile hands-free terminals are required to be

robust to the variations in the sparseness of the acoustic path.

SC-PNLMS: Sparseness measure has been incorporated into PNLMS.

o Sparseness measured using estimated impulse response.

o Modest increase in computational complexity

o Outperformed across all sparseness levels.

A Sparseness Controlled Proportionate Algorithm for AEC