introduce

naive bayes方法是用于分类的一个传统方法，它是产生的比较早的一个方法，分类的准确度比较高。(naive bayes method is used for the classification of a traditional method, which is generated as early as one way of comparison, classification accuracy is relatively high.)

2007年4月份，法国人的最新emd程序，(April 2007, the French emd the latest procedures,)

说明：  rbf神经网络用于分类的matlab程序，修改数值就可适用(rbf neural network for classification matlab procedures can modify the application of numerical)

本文是编程实现图像的统计直方图，以利于了解直方图修正(This is the image histogram programming to help inform the histogram revised)

应用于时变时滞非线性系统的RBF神经网络和PID相结合的控制方法代码(Control method code varying delay nonlinear systems when applied RBF neural network and PID combine)

Matlab实现遗传算法原理等，讲解详细，层次清晰，值得学习(A genetic algorithm Matlab rationale to explain the detailed level of clarity, it is worth learning)

matlab的 课件及其他工程上有用东西(matlab engineering and other useful staff)

1、研究BFSK在加性高斯白噪声信道下（无突发干扰）的误码率性能与信噪比之间的关系； 2、研究BFSK在加性高斯白噪声信道下（有突发干扰）的误码率性能与信噪比之间的关系；分析突发干扰的持续时间对误码率性能的影响。 3、研究BFSK+信道编码（取BCH码和汉明码）在加性高斯白噪声信道下（无突发干扰）的误码率性能与信噪比之间的关系；分析不同码率对误码率性能的影响。比较不同信道编码方式的编码增益性能。 4、研究BFSK+信道编码（取BCH码和汉明码）在加性高斯白噪声信道下（有突发干扰）的误码率性能与信噪比之间的关系；分析突发干扰的持续时间对误码率性能的影响。分析不同码率对误码率性能的影响。比较不同信道编码方式的编码增益性能。 (The relationship between research BFSK in additive white Gaussian noise channel (non-burst interference) bit error rate performance and signal to noise ratio research BFSK in additive white Gaussian noise channel (burst interference The relationship between), bit error rate performance and signal to noise ratio analysis of the duration of the burst interference on the BER performance. The relationship between the 3 the study BFSK+ channel coding (take BCH code and Hamming code) under the additive white Gaussian noise channel (non-burst interference), bit error rate performance and signal to noise ratio analysis of the different rate of bit error rate the impact of the performance. Comparison of different channel coding, coding gain performance. The relationship between the 4 the study BFSK+ channel coding (take BCH code and Hamming code) under the additive white Gaussian noise channel (burst interference), bit error rate performance and signal to noise ratio duration analysis of bu)

SkewT分布是近年来得到广泛使用的一种参数化分布。区别于传统的正太分布、学生-t分布，SkewT分布除了具有厚伟特征之外，还引入了偏斜特征。该分布对于金融领域的研究与应用具有十分重要的价值。当然，也是一个重要的统计工具。SkewT分布由Bruce E. Hansen(1994)构造，本源码包括SkewT分布的密度函数、累计概率、随机数生成、理论矩。(SkewT distribution has been widely used recently. Different from traditional Normality and Student-t distribution, SkewT parameterizes both tail-thickness and skewness. SkewT is valuable to financial applications and studies, and other statistic tool. SkewT is firstly introduced by Bruce E. Hansen(1994). This package includes M files on the density of SkewT, CDF, random number generator and theoretical moments of SkewT.)

this is a matlab program which implement cmt algorithm for detection objects in signals