Presentation 1996/9/12
Analysis of a Simplified RLS Algorithm for the Estimation of Sinusoidal Signal
Keiya IWAMOTO, Yegui XIAO, Yoshiaki TADOKORO,
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Abstract(in English) The estimation of sinusoidal signals or periodic signals in additive noise has applications in communications, power systems, biomedical engineering, transcription and so forth. For the estimation of discrete Fourier coefficients, the conventional Discrete Fourier Transform (DFT) plays a dominant role. However, it suffers from drawbacks of being difficult to be computed at arbitrary frequency and to be applied to nonstationary signals. To overcome its deficiency, a lot of adaptive techniques have been developed. Recently, a Simplified RLS (SRLS) algorithm has been proposed by simplifying the original RLS algorithm. In this study, analysis of the SRLS algorithm for sinusoidal signals in additive noise is performed. The dynamics and tracking behavior of the algorithm are explored. Extensive simulations are provided to support the analysis.
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Keyword(in English) Adaptive algorithm / Estimation of sinusoidal signals / Mean square error / Performance analysis
Paper # DSP-96-67,SP-96-42
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Conference Information
Committee DSP
Conference Date 1996/9/12(1days)
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Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of a Simplified RLS Algorithm for the Estimation of Sinusoidal Signal
Sub Title (in English)
Keyword(1) Adaptive algorithm
Keyword(2) Estimation of sinusoidal signals
Keyword(3) Mean square error
Keyword(4) Performance analysis
1st Author's Name Keiya IWAMOTO
1st Author's Affiliation Department. of Informaiton and Computer Sciences Faculty of Engineering Toyohashi University of Technology()
2nd Author's Name Yegui XIAO
2nd Author's Affiliation Department. of Informaiton and Computer Sciences Faculty of Engineering Toyohashi University of Technology
3rd Author's Name Yoshiaki TADOKORO
3rd Author's Affiliation Department. of Informaiton and Computer Sciences Faculty of Engineering Toyohashi University of Technology
Date 1996/9/12
Paper # DSP-96-67,SP-96-42
Volume (vol) vol.96
Number (no) 238
Page pp.pp.-
#Pages 8
Date of Issue