1. 毕业设计（论文）的内容、要求、设计方案、规划等
本课题要求就CS的三大关键技术进行详细的研究，通过对图像的详细处理来进一步的了解压缩感知理论。
其中最关键的是算法的重构，算法中应用最广泛的是贪婪算法中的正交匹配算法（OMP）,第三章详细介绍了此算法。
要求主要运用正交匹配追踪算法实现图像的重构，在图像的观测值不同的基础上，观察信噪比，重构时间和测量速率等。
2. 参考文献（不低于12篇）
1. E.J. Candes, and Romberg, T. Tao.Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Trans. Inf. Theory, Vol. 52, no. 2, PP. 489 - 509, Feb. 20062. E. J. Cands and J. Romberg. Quantitative robust uncertainty principles and optimally sparse decompositions. Found. of Comput. PP.227-254. Math. 20063. E. J. Cands and J. Romberg. The role of sparsity and incoherence for exactly reconstructing a signal from limited measurements, California Inst. Technol., Pasadena, Tech. Rep.,20044. E. J. Candes, and T. Tao.Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? :IEEE Trans. Inf. Theory, Vol. 52, no. 12, PP.5406 5425, Dec. 20065. E. candes, and T. tao. Decoding by linear programming, IEEE Trans. Inf. Theory, Vol. 51, no. 12, PP.4203 4215, Dec. 20056. E.J. Candes, and Romberg, T. Tao.Stable signal recovery from incomplete and inacuurate measurements, Commum.Pure Appl, Math, Vol. 59, no.8, PP.1207-1223,2006.7. J. A. Tropp, and A. C.Gilbert. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit, IEEE Trans. Inf. Theory, Vol. 53, no. 12, PP. 4655 - 4666, Dec. 20078. D. Needell, and R. vershynin. Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit, submitted for publication, 20079. D. Needell, and R. vershynin. Signal recovery form incomplete and inaccute measurement via regularized orthogonal matching pursuit submitted for publication, 200710. D.L.Donoho; Compressed sensing IEEE Trans. Inf. Theory, Vol. 52, no. 4, PP. 1289 - 1306, Apr. 200611. H.Rauhut, K. Schnass, and P.Vandergheynst. Compressed Sensing and Redundant Dictionaries, IEEE Trans. Inf. Theory, Vol. 54, no. 5, PP. 2210 - 2219, May. 200812. M.Lustig, D.L.Donoho, J.M.Santos, and J.M. Pauly. Compressed Sensing MRI [A look at how CS can improve on current imaging techniques]IEEE Signal Processing Magazine,Vol. 25, no. 2, PP.72 82, Mar. 200813. J. Haupt, W.U.Bajwa, M. Rabbat, and R.Nowak. Compressed Sensing for Networked Data [A different approach to decentralized compression] IEEE Signal Processing Magazine, Vol. 25,no. 2, PP. 92 101, Mar. 200814. M.A. Herman and T. Strohmer."High-resolution Radar via Compressed Sensing," Submitted to IEEE Trans. on SP 200815. J.L.Paredes, G.R. Arce, and Zhongmin Wang. Ultra-Wideband Compressed Sensing: Channel Estimation, Selected Topics in Signal Processing, IEEE Journal ofVol. 1,no. 3, PP.383 395, Oct. 200716. 齐连众，喻武龙，黄相杰. 基于单片机的远程图像监控系统设计[J].计算机与现代化，2013，1:98-101.17. 李为民，梁济仁，韦卫星. 单片机图像采集与网络传输[J].微计算机信息，2005，21(11):12-15.18. 王秀清，崔菲菲，张春霞. 基于DSP植物生长状况无线监测系统的研究[J].研究与开发，2010，29(10):44-47.19.王燕.激光工程，2007，36(6): 968-971.20. 张宝利，龚龙庆，田卫. 基于FPGA的远程图像采集系统设计[J].电子产品世界，2009，11: 34-37.21. 谭会生. 多级二维整数小波变换的FPGA实现研究[J].电子测量与仪器学报，2009，23(7): 29-34.22.夏宏博. 面向水环境监测的无线传感器网络监测节点设计[D].杭州电子科技大学,2009.23.姚克荣. 无线传感器网络的崛起[J].现代雷达,2009,12:22-26.24.孙向荣. 无线传感器网络的研究现状及主要应用[J].电子制作,2013,16:142.25.苏震,梁小龙. 光敏二极管传感器在几个特定条件下的响应状态分析[J].中国传媒大学学报(自然科学版),2012,01:19-23.
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