压缩感知实现BBU-RRU之间的数据压缩
王军选, 李小平. 压缩感知实现BBU-RRU之间的数据压缩[J]. 光通信研究, 2016, 42(5): 71.
WANG Jun-xuan, LI Xiao-ping. Data Compression Technology Between BBU and RRU with Compressed Sensing[J]. Study On Optical Communications, 2016, 42(5): 71.
[1] DONOHOD. Compressed sensing[J]. IEEE Trans Information Theory, 2006, 52(4): 1289-1306.
[2] Candès E J. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Trans Information Theory, 2006, 52(2): 489-509.
[3] 王庆国,王华力,罗章凯. 压缩感知理论应用于OFDM接收机系统的研究[J]. 军事通信技术. 2014, 35(04): 65-70.
[4] Wu Ji, Liang Qilian, Zhang Baoju, et al. Adaptive compressive sensing for multiuser OFDM system[C]//ICC 2013. Budapest, Hungary: IEEE, 2013: 977-981.
[5] Cai T Tony,Wang Lie.Orthogonal matching pursuit for sparse signal recovery with noise[J]. IEEE Trans Information Theory,2011, 57(7): 4680-4688.
[6] Tropp J A ,Gilbert A C.Signal recovery from random measurements via orthogonal matching pursuit[J].IEEE Trans Information Theory,2007, 53(12): 4655-4666．
[7] 杨成,冯巍,冯辉,等. 一种压缩采样中的稀疏度自适应子空间追踪算法[J]. 电子学报. 2010, 38(08): 1914-1917.
[8] 周灿梅. 基于压缩感知的信号重建算法研究[D]. 北京: 北京交通大学, 2010.
[9] 西安邮电大学．一种BBU-RRU之间的数据压缩方法: 中国, 201510791927.6[P].2016-04-20.
王军选, 李小平. 压缩感知实现BBU-RRU之间的数据压缩[J]. 光通信研究, 2016, 42(5): 71. WANG Jun-xuan, LI Xiao-ping. Data Compression Technology Between BBU and RRU with Compressed Sensing[J]. Study On Optical Communications, 2016, 42(5): 71.
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