emission

granger非线性因果关系检验的Matlab代码(Granger Nolinear Casualty test in Matlab)

七自由度动力学模型的加速度分析，加速度响应信号(Acceleration analysis of the dynamic model of the seven degrees of freedom, and acceleration response signal)

含噪的三角波和正弦三角波去噪问题，简便的程序，直接在matlab中打开即可(meaningful)

关于希尔伯特-黄变换的几篇不错的英文文献(About Hilbert- Huang Transform several good English literature)

ICALAB for Image Processing Toolbox for ICA, BSS, BSE

EMD分解及HHT分解，主要功能是能把混合信号分解成其所含的各频率成分(HHT EMD decomposition and decomposition, the main function is to be able to decompose mixed signal into its frequency components contained in the)

【matlab编程代做】使用两个图像输入模糊C+-均值图像分割([Do] matlab program generation using two image input fuzzy C+- Mean image segmentation)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

各种有用的matlab apple实例程序(Useful MATLAB Apple instance of program)

使用经验模式分解算法的论文集与源码包，包括了最新的EMD工具箱及其使用手册，是一套可以直接应用的软件(The use of empirical mode decomposition algorithm for a collection of essays and source packages, including the latest EMD toolbox and how to use manual is a set of software that can be applied directly)