The Euclidean Direction Search Algorithm in Adaptive Filtering(<特集>Special Section on the Trend of Digital Signal Processing and Its Future Direction)

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概要

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• A new class of least-squares algorithms is presented for adaptive filtering. The idea is to use a fixed set of directions and perform line search with one direction at a time in a cyclic fashion. These algorithms are called Euclidean Direction Search (EDS) algorithms. The fast version of this class is called the Fast-EDS or FEDS algorithm. It is shown to have O(N) computational complexity and a convergence rate comparable to that of the RLS algorithm. Computer simulations are presented to illustrate the performance of the new algorithm.

• 社団法人電子情報通信学会の論文
• 2002-03-01

著者

• Xu Guo-fang

  Dataplay

• BOSE Tamal

  Electrical and Computer Engineering, Utah State University

• Bose Tamal

  Electrical And Computer Engineering Utah State University

関連論文

• The Euclidean Direction Search Algorithm in Adaptive Filtering(Special Section on the Trend of Digital Signal Processing and Its Future Direction)

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