| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Outline of Final Research Achievements |
Low-density parity-check (LDPC) convolutional codes are error correcting codes constructed by sparse parity-check matrices of convolutional codes. The codes show good performance when they are decoded by iterative algorithms. In this research, we proposed an efficient methods for computing the free distance and the weight spectrum of LDPC convolutional codes. We focus on structural property of parity-check matrices of LDPC convolutional codes, and reduce the complexity of computing the free distance and the weight spectrum. Furthermore, we discuss about the improvement of decoding performance of LDPC convolutional codes over several channels.
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