Presentation 1998/6/25
A New LMS-Based Adaptive Algorithm Estimating Sinusoidal Signals in Arbitrary Additive Noise
Yoshihiro Takeshita, Yegui Xiao, Katsunori Shida,
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Abstract(in English) This paper presents a new adaptive algorithm for the estimation of discrete Fourier coefficients (DFC) of a noisy sinusoidal signal, which is based on a summed least mean squared error criterion. The algorithm requires the same number of multiplications as the LMS algorithm, but shows much better performance in white or colored noise environment. We first analyze the performance of the conventional LMS algorithm in case of colored additive noise, and then point out its possible modifications that may be needed. As a result, the above-mentioned new adaptive algorithm is developed. The performance of the proposed algorithm is also analyzed in some detail. Simulation results are provided to support the analytical findings and the superiority of the new algorithm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Adaptive Fourier analysis / Adaptive algorithm / Least mean squared error criterion / Performance analysis
Paper # CAS98-3,VLD98-3,DSP98-32
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Conference Information
Committee VLD
Conference Date 1998/6/25(1days)
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Paper Information
Registration To VLSI Design Technologies (VLD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A New LMS-Based Adaptive Algorithm Estimating Sinusoidal Signals in Arbitrary Additive Noise
Sub Title (in English)
Keyword(1) Adaptive Fourier analysis
Keyword(2) Adaptive algorithm
Keyword(3) Least mean squared error criterion
Keyword(4) Performance analysis
1st Author's Name Yoshihiro Takeshita
1st Author's Affiliation Faculty of Science and Engineering, Saga University()
2nd Author's Name Yegui Xiao
2nd Author's Affiliation Faculty of Science and Engineering, Saga University
3rd Author's Name Katsunori Shida
3rd Author's Affiliation Faculty of Science and Engineering, Saga University
Date 1998/6/25
Paper # CAS98-3,VLD98-3,DSP98-32
Volume (vol) vol.98
Number (no) 141
Page pp.pp.-
#Pages 8
Date of Issue