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 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
Conference Date 2009/5/15(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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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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