Optimization-Case-Analysis-

A series of exercices using matlab, about DIP.

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.)

用MATLAB在产生的观测数据中捕获其中PRN 号码为“5”C/A 码。 （1） 观测数据应该有一定的多普勒频偏D f（-10kHz〈D f〈+10kHz）； （2） 加入高斯白噪声，使其信噪比为-20dB； （3） 捕获成功后，应给出捕获标志，并给出估计的频偏和码偏值。(Generated by MATLAB in which observed data capture PRN number is " 5" C/A code. (1) there should be some observations of Doppler shift D f (-10kHz < D f < +10 kHz) (2) by adding Gaussian white noise, so SNR is-20dB (3) capture success After the capture flag to be given, and given the estimated frequency offset and code bias values.)

用Matlab仿真实现了IEEE802.11信道模型，仿真图中显示了平均信道功率和信道频率响应。(Matlab simulation of IEEE 802.11 channel model, simulation graph shows the average channel power and channel frequency response.)

是用于建模方面的,很有用,所上传的5个程序文件要协同工作才行(Is used for modeling, very useful, 5 program files uploaded to work for the job)

利用matlab 进行段数傅里叶变换，进行频谱分析，对于从事相关工作的人很有帮助。(The number of segments by using Fourier transform of MATLAB, frequency spectrum analysis, is helpful to be engaged in relevant work.)

Statistics toolbox is necessary only to caculate t and F distributions for the number of samples at the specified alpha. These values could be obtained a table and manually inserted in the code, thus negating the use of the statistics toolbox.

智能天线Matlab版的全部源代码，大家可以进行参考,以便更好的学习和互相交流。(Smart Antenna Matlab version of the full source code, we can refer to, in order to better learn and interact with each other.)

源代码 matlab源代码 m文件 基于MATLAB的Reed_Muller码编译码仿真(Source code matlab source code m file code decoding based on MATLAB simulation of Reed_Muller)

Monte Garlo 仿真程序，关于误码率与信噪比的对应关系，希望对大家学习有所帮助(Monte Garlo simulation program, on the bit error rate and signal to noise ratio of the corresponding relations and hopes to help them to learn)