Presentation 2011-06-30
A Sampling Theorem for Periodic Piecewise Polynomials Using Sinc Kernel
Akira HIRABAYASHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We address a problem of sampling and reconstructing periodic piecewise polynomials based on the theory for signals with a finite rate of innovation (FRI signals) from samples acquired by a sinc kernel. This problem was discussed in a previous paper. There was, however, an error in a condition about the sinc kernel. Further, the reconstruction procedure for the signals was not shown even though the procedure is not trivial. Hence, in this paper, we provide a correct condition for the sinc kernel and show the procedure. The point is that, though a periodic piecewise polynomial of degree R is defined as a signal mapped to a periodic stream of differentiated Diracs by R+1 time differentiation, the mapping is not one-to-one. Therefore, to recover the stream is not sufficient to reconstruct the original signal. To solve this problem, we use the average of the target signal, which is available because of the sinc sampling. Simulation results show the correctness of our reconstruction procedure.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Piecewise polynomials / stream of Diracs / finite rate of innovation(FRI) signals / annihilating filter
Paper # CAS2011-16,VLD2011-23,SIP2011-45,MSS2011-16
Date of Issue

Conference Information
Committee MSS
Conference Date 2011/6/23(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Mathematical Systems Science and its applications(MSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Sampling Theorem for Periodic Piecewise Polynomials Using Sinc Kernel
Sub Title (in English)
Keyword(1) Piecewise polynomials
Keyword(2) stream of Diracs
Keyword(3) finite rate of innovation(FRI) signals
Keyword(4) annihilating filter
1st Author's Name Akira HIRABAYASHI
1st Author's Affiliation Graduate School of Medicine, Yamaguchi University()
Date 2011-06-30
Paper # CAS2011-16,VLD2011-23,SIP2011-45,MSS2011-16
Volume (vol) vol.111
Number (no) 105
Page pp.pp.-
#Pages 6
Date of Issue