Presentation | 2009-05-22 Proof of the optimum running approximation of FIR filter banks without using the mini-max theorem in functional analysis Yuichi KIDA, Takuro KIDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We show a running approximation of discrete signals {f(nT)}={f(n/R_0)} (R_0=a natural number, n=an integer) by a FIR filter bank that minimizes various worst-case measures of error, at the same time. We assume that {f(nτ)} is a sampled version of an unknown band-limited original signal f(t) having a main lobe and small side-lobes. The output signal {g(nτ)} of the filter bank is a final approximation signal. |
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Paper # | USN2009-2 |
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Committee | USN |
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Conference Date | 2009/5/15(1days) |
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Registration To | Ubiquitous and Sensor Networks(USN) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Proof of the optimum running approximation of FIR filter banks without using the mini-max theorem in functional analysis |
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1st Author's Name | Yuichi KIDA |
1st Author's Affiliation | the School of Pharmaceutical Sciences, Ohu University() |
2nd Author's Name | Takuro KIDA |
2nd Author's Affiliation | Tokyo Institute of Technology:Nihon University |
Date | 2009-05-22 |
Paper # | USN2009-2 |
Volume (vol) | vol.109 |
Number (no) | 47 |
Page | pp.pp.- |
#Pages | 6 |
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