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| Presentation | 2022-01-21 11:20 Deep-Unfolded Sparse Signal Recovery Algorithm using TopK Operator Masanari Mizutani (NITech), Satoshi Takabe (TITech), Tadashi Wadayama (NITech)  IT2021-72 SIP2021-80 RCS2021-240 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Compressed sensing for estimating sparse signals is formulated as an NP-hard problem, where LASSO based on convex relaxation is usually solved alternatively. A drawback of LASSO-based methods is that prior information on sparsity $k$ of an original vector is directly unavailable. In this paper, we present a projected gradient descent-like algorithm called TopK-ISTA using an approximate projection operator called TopK operator, which iteratively searches a solution using the sparsity $k$ directly. In addition, we propose a trainable algorithm by combining TopK-ISTA with the notion of deep unfolding, in which internal parameters of the algorithm can be learned using training data. We also evaluate its signal recovery performance by comparing some existing methods. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | compressed sensing / approximate projection / projected gradient descent / deep unfolding / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 328, SIP2021-80, pp. 245-251, Jan. 2022. | |
| Paper # | SIP2021-80 | |
| Date of Issue | 2022-01-13 (IT, SIP, RCS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
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| Download PDF | IT2021-72 SIP2021-80 RCS2021-240 |
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| Conference Information | |
| Committee | RCS SIP IT |
| Conference Date | 2022-01-20 - 2022-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2022-01-RCS-SIP-IT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Deep-Unfolded Sparse Signal Recovery Algorithm using TopK Operator |
| Sub Title (in English) | |
| Keyword(1) | compressed sensing |
| Keyword(2) | approximate projection |
| Keyword(3) | projected gradient descent |
| Keyword(4) | deep unfolding |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Masanari Mizutani |
| 1st Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 2nd Author's Name | Satoshi Takabe |
| 2nd Author's Affiliation | Tokyo Institute of Technology (TITech) |
| 3rd Author's Name | Tadashi Wadayama |
| 3rd Author's Affiliation | Nagoya Institute of Technology (NITech) |
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| Speaker | Author-1 |
| Date Time | 2022-01-21 11:20:00 |
| Presentation Time | 25 minutes |
| Registration for | SIP |
| Paper # | IT2021-72, SIP2021-80, RCS2021-240 |
| Volume (vol) | vol.121 |
| Number (no) | no.327(IT), no.328(SIP), no.329(RCS) |
| Page | pp.245-251 |
| #Pages | 7 |
| Date of Issue | 2022-01-13 (IT, SIP, RCS) |
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