MUSIC-Algrothim-in-alpha-noise

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.)

一种基于SPR光谱分析的液体折射率的计算，结果正确，可以使用。(SPR spectroscopy based on the calculation of the refractive index of liquid, the result is correct, can be used.)

伪随机数发生器: “利用随机序列进行间隔控制，选择消息隐藏位”的描述算法、Matlab程序（可参考所给的程序）、原理与步骤(some thing about watermark)

matlab信号处理的电子书籍。对想学习matlab的同学比较有用(matlab signal processing electronic books. Useful to the students want to learn matlab)

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.

遗传算法又叫基因进化算法，或进化算法。属于启发式搜索算法一种，这个算法比较有趣，并且弄明白后很简单，写个100-200行代码就可以实现。在某些场合下简单有效。本文就花一些篇幅，尽量白话方式讲解一下。(GA simple genetic algorithm;basic genetic algorithm;traditional genetic algorithm)

WCDMA的MATLAB仿真程序，供参考学习 (WCDMA system analysis)

关于DSCDMA的仿真，首先对信号调制，然后扩频，接收端解扩解调。包含单用户和多用户下的的误码率曲线。(On the DSCDMA simulation, firstly modulate signals , and then spread spectrum, the receiver de-spread demodulation. Including single-user and multi-user under the BER curve.)

说明：  EMD算法的matlab代码，非常详细，每一步都有解释(Matlab code of EMD algorithm)

代码实现了BPSK调制解调功能，包含成型滤波和硬判决模块。通过仿真出误码率曲线，并且画出理论曲线，验证了代码的正确性。(This code achieves the modulation and demodulation of BPSK.It includes the shaped filter and hard decision module.I plot the BER curve of BPSK and compared with the theoretical curve, I verify the correctness of the code.)