| 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. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | USN2009-2 |
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| Committee | USN |
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| Conference Date | 2009/5/15(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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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 |
| Sub Title (in English) | |
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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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