fdtdmatlabTM

运动模糊图像的恢复的维纳滤波复原法，可以作为参考(Motion blurred image restoration Wiener filtering restoration method, can be used as reference)

实现匈牙利算法 实现匈牙利算法 实现匈牙利算法 实现匈牙利算法，求最大组合(algorithm to achieve Hungary Hungary algorithm algorithm Hungary is the Hungarian a lgorithm algorithm for the largest portfolio)

compressive sensing theory

Fuzzy logic inference system

compressive sensing 新版本MMA14( This is an example using the Subspace Pursuit Algorithm of Wei Dai and Olgica Milenkovic "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity" and the Re-weighted algorithm of Rick Chartrand and Wotao Yin "Iteratively Reweighted Algorithms for Compressive Sensing" In order to run this example you need to install all these m.files in the same directory and type trialSP2 at the prompt. Written by Igor Carron http://nuit-blanche.blogspot.com Creative Commons Licence with attribution)

I gives information of seperation of sources using matlab.

matlab与simulink通信系统建模与仿真实例分析。 本書系統地介紹了通信建模仿真方法和模型驗證技術，並結合作者近年在教學科研中所設計的大量基礎的和較深入的建模仿真實例，詳細討論了Matlab/Simulink作為仿真實現平台在電子與通信工程中應用的基本方法、技巧和難點。本書重點討論了建模仿真原理和相關的數值計算方法、模擬通信系統、模數轉換、調製與編碼、信道模擬、載波與符號同步、信道均衡、跳頻系統和直接擴頻系統、通信模型正確性評估、仿真數據驗證和數據處理技術等內容，並在仿真實例中展示了科學研究論文和報告所必須的數據處理和表現技巧。 本書提供了約150個建模仿真實例，80多道思考題，以及全部實例代碼和一個電子教案。這些實例根據基本數學原理，結合Simulink的S函數編程，也使用了通信工具箱、信號處理工具箱和相關模型庫的模塊和函數，以便於讀者追源求本，深入理解建模和仿真的實質。 本書可作為高等院校通信工程、電子信息類專業的本科生和研究生系統仿真課程的教材或進行相關課題研究的參考書，也可作為相關專業課程設計和畢業設計等綜合性實踐教學的指導材料，還可供通信工程專業技術人員、教師等作為解決通信系統設計、評估和建模仿真領域實際問題的參考資料。(matlab and simulink communications system modeling and simulation case study. This book describes the methods and models of communication modeling and simulation verification technology, combined with the author in recent years in teaching and research in the design of a large number of basic and more in-depth modeling and simulation examples are discussed in detail Matlab/Simulink Simulation as an electronic platform the basic method of communicating with the project application, skills and difficulties. This book focuses on the modeling and simulation, and the related numerical methods, analog communication system, analog to digital conversion, modulation and coding, channel simulation, carrier and symbol synchronization, channel equalization, frequency hopping spread spectrum system and direct system, a communication model is correct content uation, simulation, data validation and data processing technology, and scientific research papers and reports show the necessary data process)

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)

iterative hard thresholding algorithm in Compressed Sensing

degree noise corrupted matlab