Title :
A stable fast affine projection adaptation algorithm suitable for low-cost processors
Author_Institution :
Network Edge Technol., Nortel Networks, Ottawa, Ont., Canada
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
Keywords :
adaptive signal processing; matrix inversion; nonlinear programming; numerical stability; speech processing; adaptive filtering; convergence property; error accumulation; error propagation; instability; low-cost processors; matrix inversion; nonlinear programming; optimization; stable fast affine projection adaptation algorithm; voice applications; Adaptive equalizers; Adaptive filters; Digital signal processing; Echo cancellers; Financial advantage program; Horses; Noise cancellation; Sampling methods; Signal processing algorithms; System identification;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861975
