Presentation 2004/1/9
Improvement of Computational Complexity of High Q Adaptive IIR Interpolation Filter for Detection of a Single Sinusoid Signal
Koki KATO, Nobuaki TAKAHASHI, Tsuyoshi TAKEBE,
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Abstract(in English) An adaptive IIR bandpass interpolation filter has been proposed by Nagasima et al. which detects a single sinusoid signal with an unknown frequency corrupted by white Gaussian noise and simultaneously increases the sampling rate. In this paper, in order to improve the convergence performance and reduce the computational complexity in high Q, a new algorithm of the adaptive IIR bandpass interpolation filter is proposed. The computer simulation is given to demonstrate the improved convergence performance of the proposed adaptive filter.
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Keyword(in English) Adaptive filter / Interpolation filter / Multirate Signal Prosessing / Polyphase Structure
Paper # DPS2003-197,SAT2003-194,RCS2003-292
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Committee SAT
Conference Date 2004/1/9(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Computational Complexity of High Q Adaptive IIR Interpolation Filter for Detection of a Single Sinusoid Signal
Sub Title (in English)
Keyword(1) Adaptive filter
Keyword(2) Interpolation filter
Keyword(3) Multirate Signal Prosessing
Keyword(4) Polyphase Structure
1st Author's Name Koki KATO
1st Author's Affiliation Tokai University()
2nd Author's Name Nobuaki TAKAHASHI
2nd Author's Affiliation Tokai University
3rd Author's Name Tsuyoshi TAKEBE
3rd Author's Affiliation Kanazawa Institute of technology
Date 2004/1/9
Paper # DPS2003-197,SAT2003-194,RCS2003-292
Volume (vol) vol.103
Number (no) 550
Page pp.pp.-
#Pages 5
Date of Issue