Low Complexity Kernel Affine Projection-type Algorithms with a Coherence Criterion

被引：0

作者：

Albu, Felix ^{[1
]}

Nishikawa, Kiyoshi ^{[2
]}

机构：

[1] Valahia Univ Targoviste, Fac Elect & Informat Technol, Targoviste, Romania

[2] Tokyo Metropolitan Univ, Fac Syst Design, Tokyo, Japan

来源：

2017 INTERNATIONAL CONFERENCE ON SIGNALS AND SYSTEMS (ICSIGSYS) | 2017年

关键词：

kernel affine projection algorithm; proportionate algorithms; nonlinear system identification;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, two new kernel adaptive algorithms are proposed. An approximation is used in order to derive the pseudo kernel affine projection algorithm and the pseudo kernel proportionate affine projection algorithm, respectively. The computational efficiency and performance of the proposed algorithms is verified for a nonlinear system identification application.

引用

页码：87 / 91

页数：5

共 24 条

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[2] Fast block exact Gauss-Seidel pseudo affine projection algorithm [J].

Albu, F ;

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ELECTRONICS LETTERS, 2004, 40 (22) :1451-1453

[3]

Albu F, 2005, INT CONF ACOUST SPEE, P121

[4]

Albu F., 2013, P IEEE ISPA, P342, DOI DOI 10.1109/ISPA.2013.6703765

[5]

Albu F., 2006, IEE ELECT LETT, V42, P59

[6]

Albu F, 2015, ADV COMPU INTELL ROB, P61, DOI 10.4018/978-1-4666-7248-2.ch002

[7]

Albu F, 2011, INT CONF ACOUST SPEE, P429

[8]

[Anonymous], 1996, MATRIX COMPUTATION

[9]

[Anonymous], 2003, Fundamentals of Adaptive Filtering

[10]

Benesty J, 2002, INT CONF ACOUST SPEE, P1881

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