crf_trees.v0.11

Matlab面向对象编程，英文版，适合初学者用，目前该类书籍很少，将就看看(Matlab object-oriented programming, in English, suitable for beginners to use, such books currently very few will look)

matlab编程，important，good，仅供参考(matlab programming, important, good, only for reference)

power_seriesbranch,功率电子领域matlab仿真文件，已经验证过，程序运行正常( power_seriesbranch,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

本资料详细的介绍了，mathlab软件编程的知识点，对于初学者有很大的帮助。(Details mathlab software programming knowledge, a great help for beginners.)

基于matlab的音乐均衡器，可以实时改变均衡器参数，并实时显示频谱和波形(Music equalizer based on matlab, can real-time change equalizer parameters, and real-time display of spectrum and waveform)

基于压缩感知理论的recPF重构算法,recpf为最新的重构算法，比之前omp之类算法，效果更好(Based on the theory of compressed sensing reconstruction algorithm recPF )

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )

说明：  含有风力发电的微电网系统仿真，通过控制策略进行功率合理分配(Research on Grid-connected microgrid and its control strategy simulation of microgrid system with wind power generation and reasonable power distribution through control strategy)

将VaxD（“Dec”）格式的C3Ds数值格式转化为IEEE—LE（“PC”）格式。(Convert the numerical format of C3Ds from VaxD ("Dec") to IEEE-LE ("PC"))

BPSK、QPSK、16QAM、64QAM调制解调(BPSK、QPSK、16QAM、64QAM modulator/demodulator)