Presentation | 2003/7/16 An Efficient Searching Method for Best Convolutional Codes Using Iterative Calculation of Weight Spectrum Yuuki OGAMI, Hiroshi SASANO, Takuya NISHIMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To find the best convolutional code, we calculate weight spectrum of all code candidates. Since the number of codes grows exponentially with constraint length, it becomes very difficult to obtain the best code with relatively large constraint length. We show a new method of searching for the best convolutional code efficiently. The method searches first adequately restricted range of the code tree and iterates the search with expanding the range gradually to obtain weight spectrum of the code. In this search it discards codes with bad performance without calculating weight spectrum completly. We show that the proposed method can find the best code more efficiently than those presented before do. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | convolutional code / best code / weight spectrum / iterative calculation |
Paper # | IT2003-25 |
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Committee | IT |
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Conference Date | 2003/7/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Theory (IT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Efficient Searching Method for Best Convolutional Codes Using Iterative Calculation of Weight Spectrum |
Sub Title (in English) | |
Keyword(1) | convolutional code |
Keyword(2) | best code |
Keyword(3) | weight spectrum |
Keyword(4) | iterative calculation |
1st Author's Name | Yuuki OGAMI |
1st Author's Affiliation | School of Science and Engineering, Kinki University() |
2nd Author's Name | Hiroshi SASANO |
2nd Author's Affiliation | School of Science and Engineering, Kinki University |
3rd Author's Name | Takuya NISHIMURA |
3rd Author's Affiliation | School of Science and Engineering, Kinki University |
Date | 2003/7/16 |
Paper # | IT2003-25 |
Volume (vol) | vol.103 |
Number (no) | 215 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |