Paper Info
Title
A stable fast affine projection adaptation algorithm suitable for low-cost processors
Abstract
The fast affine projection (FAP) adaptation algorithm possesses a superior convergence property, but most of its implementations so far suffer from instability resulting from error propagation and accumulation in a matrix inversion process. A stable yet simple FAP algorithm is proposed, where the matrix inversion is performed based on an optimization scheme in the field of non-linear programming. Proven to be stable and immune to numerical errors, the new algorithm is suitable for a wide range of voice applications.
Year
DOI
Venue
2000
10.1109/ICASSP.2000.861975
ICASSP
Keywords
Field
DocType
stable fast affine projection,fast affine projection,low-cost processor,non-linear programming,numerical error,new algorithm,matrix inversion process,simple fap algorithm,adaptation algorithm,error propagation,matrix inversion,optimization scheme,optimization,noise cancellation,instability,sampling methods,speech processing,digital signal processing,adaptive signal processing,numerical stability,adaptive filters,nonlinear programming,system identification,non linear programming,adaptive filtering
Convergence (routing),Mathematical optimization,Propagation of uncertainty,Computer science,Matrix (mathematics),Inversion (meteorology),Nonlinear programming,Algorithm,Adaptive filter,Numerical stability,Space-time adaptive processing
Conference
ISSN
ISBN
Citations 
1520-6149
0-7803-6293-4
10
PageRank 
References 
Authors
0.84
2
1
Name
Order
Citations
PageRank
Heping Ding1677.26