IMPROVING CONVERGENCE OF THE PNLMS ALGORITHM IN SPARSE ECHO CANCELLATION USING SVS-PNL-MS ALGORITHM

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MOULAEI BEYGZADEH MAHALEH PEZHMAN; KAHAEI M.H.

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Journal: THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING Year:2007 | Volume:5 | Issue:1 (A) Page(s): 10-17

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Title

IMPROVING CONVERGENCE OF THE PNLMS ALGORITHM IN SPARSE ECHO CANCELLATION USING SVS-PNL-MS ALGORITHM

Author(s)

MOULAEI BEYGZADEH MAHALEH PEZHMAN | KAHAEI M.H. | Issue Writer Certificate

Keywords

SPARSENESSQ4

ECHO RETURN OMISSIONQ4

YSLMS ALGORITHMQ2

NLMS ALGORITHMQ4

PNLMS ALGORITHMQ4

ERLEQ4

Abstract

In this paper SYS-PNLMS algorithm is proposed. The analysis reveals that it performs a faster convergence rate compared to that of the recently introduced SPNLMS, PNLMS ALGORITHMs. Compared with its proportionate counterparts e.g. PNLMS and SPNLMS, the proposed SYS-PNLMS algorithm not only results in a faster convergence rate for both white and colored noise inputs, but also preserves its initial fast convergence rate until it reaches to its steady state condition. It also presents a higher tracking behavior for quasi-stationary inputs such as speech signal in addition to better performance in terms of computational complexity and resulting ERLE. In addition, the proposed SYS-PNLMS algorithm is also evaluated with previously proposed algorithms in a theoretical framework which validates the computer simulation results in terms of CPU time and number of iterations needed for each algorithm to get converged. Finally, a region of convergence for the proposed algorithm is derived for different input cases including white, colored noise and speech signal. This region is also compared with the practical value usually used in echo cancellation application.

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APA: Copy

MOULAEI BEYGZADEH MAHALEH, PEZHMAN, & KAHAEI, M.H.. (2007). IMPROVING CONVERGENCE OF THE PNLMS ALGORITHM IN SPARSE ECHO CANCELLATION USING SVS-PNL-MS ALGORITHM. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, 5(1 (A)), 10-17. SID. https://sid.ir/paper/70643/en

Vancouver: Copy

MOULAEI BEYGZADEH MAHALEH PEZHMAN, KAHAEI M.H.. IMPROVING CONVERGENCE OF THE PNLMS ALGORITHM IN SPARSE ECHO CANCELLATION USING SVS-PNL-MS ALGORITHM. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING[Internet]. 2007;5(1 (A)):10-17. Available from: https://sid.ir/paper/70643/en

IEEE: Copy

PEZHMAN MOULAEI BEYGZADEH MAHALEH, and M.H. KAHAEI, “IMPROVING CONVERGENCE OF THE PNLMS ALGORITHM IN SPARSE ECHO CANCELLATION USING SVS-PNL-MS ALGORITHM,” THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, vol. 5, no. 1 (A), pp. 10–17, 2007, [Online]. Available: https://sid.ir/paper/70643/en

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