Multi-Band Decomposition of the Linear Prediction Error Applied to Adaptive AR Spectral Estimation
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概要
- 論文の詳細を見る
A new structure for adaptive AR spectral estimation based on multi-band decomposition of the linear prediction error is introduced and the mathematical background for the solution of the related adaptive filtering problem is derived. The presented structure gives rise to AR spectral estimates that represent the true underlying spectrum with better fidelity than conventional LS methods by allowing an arbitrary trade-off between variance of spectral estimates and tracking ability of the estimator along the frequency spectrum. The linear prediction error is decomposed through a filter bank and components of each band are analyzed by different window lengths, allowing long windows to track slowly varying signals and short windows to observe fastly varying components. The correlation matrix of the input signal is shown to satisfy both time-update and order-update properties for rectangular windowing functions, and an RLS algorithm based on each property is presented. Adaptive forward and backward relations are used to derive a mathematical framework that serves as a basis for the design of fast RLS algorithms. Also, computer experiments comparing the performance of conventional and the proposed multi-band methods are depicted and discussed.
- 社団法人電子情報通信学会の論文
- 1997-02-25
著者
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KANEKO Mineo
School of Information Science, Japan Advanced Institute of Science and Technology
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TOKUDA Keiichi
Department of Computer Science and Engineering, Nagoya Institute of Technology
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Kaneko M
Japan Advanced Inst. Sci. And Technol. Jpn
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Kaneko Mineo
School Of Information Science Japan Advanced Institute Of Science And Technology
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Tokuda K
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Tokuda Keiichi
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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NISHIHARA Akinori
Department of Physical Electronics, Faculty of Engineering, Tokyo Institute of Technology
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Tokuda Keiichi
The Department Of Computer Science Nagoya Institute Of Technology
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Nishihara A
Tokyo Inst. Technol. Tokyo Jpn
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RESENDE Jr.
Department of Physical Electronics, Tokyo Institute of Technology
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Nishihara Akinori
Department Communications And Integrated Systems Tokyo Institute Of Technology
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Resende Jr.
Department Of Physical Electronics Tokyo Institute Of Technology
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