Presentation | 2000/3/16 System Identification Based on Adaptive Wavelet Packets Fiiter Kenichiro Iida, Hiromitsu Ohmori, Akira Sano, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In actual system identification, the power spectral density of input signal is localized in a somewhat frequency range. It causes an ill-conditioned situation in system identification. In this paper, the impulse response identification algorithm that could work well even in the ill-conditioned situation is proposed. Firstly, we employ the wavelet packets transform on input / output signals to recursively estimate the impulse response in wavelet transform domain. Next, we stabilize the estimate by selection of the packets. Finally, the estimated impulse response is given as an inverse wavelet transform of it. The effectiveness of proposed methods is illustrated through numerical simmulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | adaptive wavelet packets filter / system identification / selection of the packets |
Paper # | CAS99-123,DSP99-1193,CS99-164 |
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Committee | DSP |
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Conference Date | 2000/3/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Digital Signal Processing (DSP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | System Identification Based on Adaptive Wavelet Packets Fiiter |
Sub Title (in English) | |
Keyword(1) | adaptive wavelet packets filter |
Keyword(2) | system identification |
Keyword(3) | selection of the packets |
1st Author's Name | Kenichiro Iida |
1st Author's Affiliation | Department of System Design Engineering Faculty of Science and Technology Keio University() |
2nd Author's Name | Hiromitsu Ohmori |
2nd Author's Affiliation | Department of System Design Engineering Faculty of Science and Technology Keio University |
3rd Author's Name | Akira Sano |
3rd Author's Affiliation | Department of System Design Engineering Faculty of Science and Technology Keio University |
Date | 2000/3/16 |
Paper # | CAS99-123,DSP99-1193,CS99-164 |
Volume (vol) | vol.99 |
Number (no) | 695 |
Page | pp.pp.- |
#Pages | 6 |
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