Study on encoder structure in distributed source coding
碩士 === 國立臺北大學 === 通訊工程研究所 === 95 === In recent years, the sensor devices have been experiencing a huge evolution owing to advances of wireless communication and microminiaturizing technologies. If we gather these sensor devices together to form a network topology, called wireless sensor network (WSN...
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ndltd-TW-094NTPU06500052015-10-13T10:42:08Z http://ndltd.ncl.edu.tw/handle/26880874964618672171 Study on encoder structure in distributed source coding 分散式訊號源編碼之編碼器架構研究 Jian-Cheng Huang 黃建成 碩士 國立臺北大學 通訊工程研究所 95 In recent years, the sensor devices have been experiencing a huge evolution owing to advances of wireless communication and microminiaturizing technologies. If we gather these sensor devices together to form a network topology, called wireless sensor network (WSN), we can apply this kind of network to human societies, such as military science, environmental protection, surveillance system and so on. In this article, I study WSN that accomplish the behavior of encoding. Because of power consumption and communication bandwidth are limited resources for sensor devices of WSN, a feasible fashion is selecting distributed source coding to perform encoding. The benefit of utilizing distributed source coding is that WSN can accomplish compression without communicating between closed sources, thus saving bandwidth as well as battery loading of sensor device. To reduce the complexity of multiple turbo encoder used in distributed source coding, I proposed a punctured turbo encoder to achieve Slepian-Wolf bound. Hung-Ta Pai 白宏達 2007 學位論文 ; thesis 0 zh-TW |
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碩士 === 國立臺北大學 === 通訊工程研究所 === 95 === In recent years, the sensor devices have been experiencing a huge evolution owing to advances of wireless communication and microminiaturizing technologies. If we gather these sensor devices together to form a network topology, called wireless sensor network (WSN), we can apply this kind of network to human societies, such as military science, environmental protection, surveillance system and so on. In this article, I study WSN that accomplish the behavior of encoding. Because of power consumption and communication bandwidth are limited resources for sensor devices of WSN, a feasible fashion is selecting distributed source coding to perform encoding. The benefit of utilizing distributed source coding is that WSN can accomplish compression without communicating between closed sources, thus saving bandwidth as well as battery loading of sensor device. To reduce the complexity of multiple turbo encoder used in distributed source coding, I proposed a punctured turbo encoder to achieve Slepian-Wolf bound.
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Hung-Ta Pai |
author_facet |
Hung-Ta Pai Jian-Cheng Huang 黃建成 |
author |
Jian-Cheng Huang 黃建成 |
spellingShingle |
Jian-Cheng Huang 黃建成 Study on encoder structure in distributed source coding |
author_sort |
Jian-Cheng Huang |
title |
Study on encoder structure in distributed source coding |
title_short |
Study on encoder structure in distributed source coding |
title_full |
Study on encoder structure in distributed source coding |
title_fullStr |
Study on encoder structure in distributed source coding |
title_full_unstemmed |
Study on encoder structure in distributed source coding |
title_sort |
study on encoder structure in distributed source coding |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/26880874964618672171 |
work_keys_str_mv |
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