Adaptive Line Enhancers on the Basis of Least-Squares Algorithm for a Single Sinusoid Detection (Special Section on Digital Signal Processing)
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概要
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This paper proposes adaptive line enhancers with new coefficient update algorithms on the basis of least-square-error criteria. Adaptive algorithms by least-squares are known to converge faster than stochastic-gradient ones. However they have high computational complexity due to matrix inversion. To avoid matrix inversion the proposed algorithms adapt only one coefficient to detect one sinusoid. Both FIR and IIR types of adaptive algorithm are presented, and the techniques to reduce the influence of additive noise is described in this paper. The proposed adaptive line enhancers have simple structures and show excellent convergence characteristics. While the convergence of gradient-based algorithms largely depend on their stepsize parameters, the proposed ones are free from them.
- 社団法人電子情報通信学会の論文
- 1999-08-25
著者
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Watanabe E
Shibaura Inst. Technol. Saitama‐shi Jpn
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Matsuura Koji
Faculty Of Engineering Tokyo Institute Of Technology:(present Address) Pioneer Electronic Corporatio
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Watanabe E
Faculty Of Systems Engineering Shibaura Institute Of Technology
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WATANABE Eiji
Faculty of Systems Engineering, Shibaura Institute of Technology
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NISHIHARA Akinori
Faculty of Engineering, Tokyo Institute of Technology
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Nishihara Akinori
Faculty Of Engineering Tokyo Institute Of Technology
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Watanabe Eiji
Faculty Of Engineering Fukuyama University
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