A Proportion-Sign Algorithm for Adaptive Filtering and Its Performance Analysis

スポンサーリンク

概要

• 論文の詳細を見る

• A new steepest descent linear adaptive algorithm, called the proportion-sign algorithm (PSA), is introduced and its performance analysis is presented when the signals are from zero-mean jointly stationary Gaussian processes. The PSA improves the convergence speed over the least mean square (LMS) algorithm without overly degrading the steady-state error performance and has the robustness to impulsive interference occurring in the desired response by adding a minimal amount of computational complexity. Computer simulations are presented that show these advantages of the PSA over the LMS algorithm and demonstrate a close match between theoretical and empirical results to verify our analysis.

• 一般社団法人電子情報通信学会の論文
• 1994-09-25

著者

• Ann Souguil

  Department Of Electronics Engineering Seoul National University

• Bang Seung

  Department Of Electronics Engineering Seoul National University

関連論文

• An Adaptive Filtering Method for Speech Parameter Enhancement
• 連続的な音声パラメータ推定のためのピッチパルスの影響を低減したロバストなカルマン予測器
• The Skipping Technique : A Simple and Fast Algorithm to Find the Pitch in CELP Vocoder
• A Proportion-Sign Algorithm for Adaptive Filtering and Its Performance Analysis

スポンサーリンク