Title :
A stable and efficient DSP implementation of a LSL algorithm for acoustic echo cancelling
Author :
Carezia, André ; Burt, Phillip M S ; Gerken, Max ; Miranda, Maria D. ; Da Silva, Magno T M
Author_Institution :
Dept. of Telecommun. & Control Eng., Polytech. Sch./Univ. of Sao Paulo, Brazil
Abstract :
We present an optimized DSP implementation of a modified error-feedback lattice least-square (EF-LSL) adaptive filtering algorithm. Simple measures that provide numerical stability for poor persistent excitation are also proposed. As a result of the optimization and the stability measures, an efficient and stable implementation of a fast algorithm of the RLS family was attained. We present the results of an acoustic echo cancelling experiment performed with the implemented algorithm. With a 40 MIPS SHARC DSP, up to 290 adaptive filter coefficients can be used. This represents an effective alternative to algorithms of the LMS family, while still retaining the good convergence properties of the RLS family
Keywords :
circuit feedback; digital signal processing chips; echo suppression; lattice filters; least squares approximations; numerical stability; recursive filters; 40 MIPS; LSL algorithm; RLS; SHARC DSP; acoustic echo cancellation; adaptive filter coefficients; assembly language; convergence properties; efficient fast algorithm; error-feedback filtering algorithm; lattice least-square adaptive filtering; numerical stability; optimization; optimized DSP implementation; stability measures; stable fast algorithm; Acoustic measurements; Adaptive filters; Computational complexity; Convergence; Digital signal processing; Feedback; Lattices; Least squares approximation; Resonance light scattering; Stability;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941066
