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Joint Channel Coding based on LDPC Codes with Gaussian Kernel Reflecton and CS Redundancy
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhong, Fei Guo, Shuxu |
| Copyright Year | 2013 |
| Abstract | This paper proposes a new joint decoding algorithm frame based on com pressed sensing CS and LDPC (Low-Density Parity-Check) codes. Redundant information can be effectively extr acted and amplified by CS reconstruction as a compensation to correct decoding of LDPC codes. We adopt Gaussian kernel functio n of image segmentation as a reflection. Simulation results indicate, compared with LDPC algorithm, the algorithm presented in this paper can obv iously make BER (bit error ratio) lower and improve system decoding performance, and different variance of Gaussian kernel function can obtain different results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.naturalspublishing.com/files/published/d2c35p6en11366.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Apricot kernel oil Bit error rate Cyclic redundancy check Forward error correction Image segmentation Kernel Density Estimation Low-density parity-check code Normal Statistical Distribution Sample Variance Simulation X.690 Ziziphus mauritiana biologic segmentation |
| Content Type | Text |
| Resource Type | Article |
