| Presentation | 2006-11-10 Vector Quantization Algorithm for Hardware Implementation Shigeki MATSUBARA, Hiroomi HIKAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes a new vector quantization algorithm that is suitable for hardware implementation. Conventional methods use distance calculations such as Euclid or Manhattan distance to evaluate the similarity between the input and codebook vectors. The proposed algorithm tests if the input vector elements are bounded between the predefined certain ranges and the weighted sum of the test results is used to evaluate the similarity. As no complex calculation is employed, the algorithm can be implemented in hardware easily. The proposed algorithm is verified by the recognition tests. The results show that the system can classify the input data very accurately in spite of the very simple algorithm. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Vector quantization / Distance calculation / Hardware implementation / Pattern recognition |
| Paper # | NC2006-62 |
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| Committee | NC |
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| Conference Date | 2006/11/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Vector Quantization Algorithm for Hardware Implementation |
| Sub Title (in English) | |
| Keyword(1) | Vector quantization |
| Keyword(2) | Distance calculation |
| Keyword(3) | Hardware implementation |
| Keyword(4) | Pattern recognition |
| 1st Author's Name | Shigeki MATSUBARA |
| 1st Author's Affiliation | Oita University() |
| 2nd Author's Name | Hiroomi HIKAWA |
| 2nd Author's Affiliation | Oita University |
| Date | 2006-11-10 |
| Paper # | NC2006-62 |
| Volume (vol) | vol.106 |
| Number (no) | 341 |
| Page | pp.pp.- |
| #Pages | 6 |
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