| Paper Abstract and Keywords |
| Presentation |
2024-02-29 17:00
Kernel-Induced Sampling Theorem for A Class of Mapping-Prescribed Reproducing Kernel Hilbert Spaces Akira Tanaka (Hokkaido Univ.) EA2023-79 SIP2023-126 SP2023-61 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
A reproducing kernel is often interpreted as an inner product of two input vectors mapped into a certain space. On the contrary, if a mapping and a metric of the range
space of the mapping are specified, the corresponding reproducing kernel and the unique corresponding reproducing kernel Hilbert space are automatically specified. In this paper, we introduce a class of reproducing kernel Hilbert spaces prescribed by an arbitrarily fixed mapping, and discuss properties of the spaces. Moreover, we give a necessary and sufficient condition that leads the sampling theorem (perfect reconstruction of a function from sampling points) for a reproducing kernel Hilbert space in the class. In addition, we theoretically analyze the role of a metric, by which one reproducing kernel Hilbert space among the class is specified, of the class in the function reconstruction process. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
reproducing kernel / mapping / metric / kernel-induced sampling theorem / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 402, SIP2023-126, pp. 109-114, Feb. 2024. |
| Paper # |
SIP2023-126 |
| Date of Issue |
2024-02-22 (EA, SIP, SP) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
EA2023-79 SIP2023-126 SP2023-61 |
| Conference Information |
| Committee |
SIP SP EA IPSJ-SLP |
| Conference Date |
2024-02-29 - 2024-03-01 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
SIP |
| Conference Code |
2024-02-SIP-SP-EA-SLP |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Kernel-Induced Sampling Theorem for A Class of Mapping-Prescribed Reproducing Kernel Hilbert Spaces |
| Sub Title (in English) |
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| Keyword(1) |
reproducing kernel |
| Keyword(2) |
mapping |
| Keyword(3) |
metric |
| Keyword(4) |
kernel-induced sampling theorem |
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| 1st Author's Name |
Akira Tanaka |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-02-29 17:00:00 |
| Presentation Time |
20 minutes |
| Registration for |
SIP |
| Paper # |
EA2023-79, SIP2023-126, SP2023-61 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.401(EA), no.402(SIP), no.403(SP) |
| Page |
pp.109-114 |
| #Pages |
6 |
| Date of Issue |
2024-02-22 (EA, SIP, SP) |