clutch

高阶谱分析包，应用范围包括阵列信号处理，盲源信号处理等(higher order spectral analysis package, including the application of array signal processing, blind signal processing)

基于matlab的简单一元函数优化实例,对初次学习mabtlab函数优化者会有很大帮助(simple one yuan function optimization example, mabtlab the initial learning function optimization who will be of great help)

interconnect system parameter variation

实现遗传算法的基本历程，可以自由修改变异概率，交叉概率，迭代次数等(Basic Course genetic algorithm, can be freely modified mutation probability, crossover probability, the number of iterations)

LMS滤波算法的matlab实现，有注释(LMS filtering algorithm)

说明：  一个用excel生成的日历可以从1900年2099年！可以根据开始的年费进行调整！！！并标注重要日期(A calendar can be generated using excel 1900 and 2099 from! Can begin to adjust the annual fee! ! ! And mark important dates)

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.

Assume that a direct sequence spread spectrum system uses the Barker code of length 7 (N=7) as its spreading sequence. a. Randomly generate 8 symbols (d0~d7) from the set {+1,-1}. b. If each chip of the Barker code is denoted as cj, j=0~6, spread each symbol di by the Barker code. (Please refer to p. 17 of the slides.) Use “stem” to plot the signals before spreading and after spreading

rbfnn用于长期预测，效果比多元回归模型好。(rbfnn for long-term forecast, the effect is better than the multiple regression model.)

最优分割的基本思路是给定一个数据序列和分层数，通过搜索所有可能的划分方案，找到段内离差平方和的总和最小的一种方案作为最终划分方案。这里给出最优分割法的Matlab源程序(The basic idea is optimal partition for a given data sequence and hierarchical number divided by searching all possible solutions to find the segment and the sum of the squared deviations smallest division of a scheme as a final solution. This gives the optimal segmentation Matlab source)