colourcoding

说明：  阵列信号处理的理论与应用，张小飞，光盘资料(Theory and application of array signal processing, Zhang Xiaofei, CD-ROM program)

本程序为基于BP神经网络的Pid调参方法，用于控制某时变系统，以提高系统的自适应性能(This program is Pid Scheduling method based on BP neural network to control a time-varying systems in order to improve the adaptive system performance)

重叠相加法计算圆周卷积,内含运用重叠相加法计算圆周卷积的matlab 程序代码及调试结果(The overlap-add method for circular convolution)

AR模型的Yule-Walker方程.1927年，Yule提出用线性回归方程来模拟一个时间序列。Yule的工作实际上成了现代谱估计中最重要的方法——参数模型法谱估计的基础。Walker利用Yule的分析方法研究了衰减正弦时间序列，得出Yule-Walker方程，可以说，Yule和Walker都是开拓自回归模型的先锋。(The Higher-Order Yule-Walker method.)

梯度下降法工具箱，包括了L_BFGS等。MATLAB版(gradient descent toolbox, including L_BFGS, MATLAB edition)

基于GPS信号的模糊函数仿真，绘出模糊函数图像，了解GPS信号的距离和速度分辨率。(Ambiguity function based on the GPS signal simulation, image blur function plotted to understand the distance and speed of the GPS signal resolution)

描述MCMC的MS（3）-GARCH模型的参数估计(MCMC method)

混沌时间序列求嵌入维(embedding dimension)Cao方法(Chaotic time series seeking embedding dimension (embedding dimension) Cao method)

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

These Simulink blocks contain transfer functions that model the pressure and flow transients for axisymmetric 2D viscous flow of a compressible fluid in a straight rigid circular cross section pipelines. Three models are available: (1) pressures at the ends (2) flow rates at the ends (3) pressure at one end and flow rate at the other Filtering is incorporated to reduce numerical oscillation (Gibbs phenomenon). See J. Dyn. Systems, Meas. & Control vol 122 (2000) pp. 153-162.