Presentation 2000/10/17
Frequency Domain Adaptive Volterra Filters Using Summational Complex NLMS Algorithm
Masanori TSUJIKAWA, Yoshinobu KAJIKAWA, Yasuo NOMURA,
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Abstract(in English) Frequency domain adaptive Volterra filters can identify nonlinear systems. The filtering and updating on the frequency domain by using FFT algorithm can reduce greatly the computational complexity of time domain adaptive Volterra filters. Complex LMS algorithm, which has been used as the updating algorithm of the frequency domain adaptive Volterra filters, however, has a few problems. First, it is difficult to set up the step size, which controls the updating. Second, the relation between the computational complexity and the convergence speed has tradeoff because the gradient calculated on the frequency domain is the circular correlation. In this paper, we apply a complex NLMS algorithm to frequency domain adaptive Volterra filters. This application makes the selection of the step size easy. Moreover, we aim at the reduction operation, which is employed for the filtering in the frequency domain Volterra filters of the second-and high-order, and show that the summation of the gradient calculated on the frequency domain can reduce the number of the operation constraining the gradient.
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Keyword(in English) frequency domain / adaptive Volterra filter / reduction / summational complex NLMS algorithm
Paper # DSP2000-124, ICD2000-117, IE2000-69
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Committee IE
Conference Date 2000/10/17(1days)
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Registration To Image Engineering (IE)
Language JPN
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Title (in English) Frequency Domain Adaptive Volterra Filters Using Summational Complex NLMS Algorithm
Sub Title (in English)
Keyword(1) frequency domain
Keyword(2) adaptive Volterra filter
Keyword(3) reduction
Keyword(4) summational complex NLMS algorithm
1st Author's Name Masanori TSUJIKAWA
1st Author's Affiliation Department of Electronics, Faculty of Engineering, Kansai University()
2nd Author's Name Yoshinobu KAJIKAWA
2nd Author's Affiliation Department of Electronics, Faculty of Engineering, Kansai University
3rd Author's Name Yasuo NOMURA
3rd Author's Affiliation Department of Electronics, Faculty of Engineering, Kansai University
Date 2000/10/17
Paper # DSP2000-124, ICD2000-117, IE2000-69
Volume (vol) vol.100
Number (no) 389
Page pp.pp.-
#Pages 8
Date of Issue