arclength

说明：  精通MATLAB与C++混合程序设计所有的例子(Proficient in MATLAB and C++ mixed programming examples for all)

emd分解，通过emd分解重构信号实现降噪(By the emd decomposition reconstruction signal noise reduction)

混沌时间序列Matlab源程序,包含时间序列的时间延迟计算，关联积分计算，相空间重构，时间序列分解，Heaviside函数的计算，延迟时间和时间窗口计算，混沌吸引子关联维计算，重构相空间进行K_L变换，混沌吸引子关联维计算，Hurst指数分析，关联维和Kolmogorov熵计算，FFT计算序列平均周期，最大lyapunov指数计算，利用互信息法求时间延迟，混沌和噪声识别的源程序。(Matlab chaotic time series source, time includes the time series of delay calculation, correlation integral calculation, phase space reconstruction, time series decomposition, calculated Heaviside function, the delay time and the time window calculated correlation dimension of chaotic attractors calculated reconstruction phase space K_L transform computing correlation dimension of chaotic attractors, Hurst exponent analysis, correlation dimension and Kolmogorov entropy calculation, FFT calculation sequence averaging period, maximum lyapunov index, mutual information method the time delay, chaos and noise source identification.)

对雷达系统进行仿真,线形调频信号的产生等(On the radar system simulation, linear FM signal generation)

深度学习matlab工具箱,包括深度deep belief nets,stacked autoencoder,convolutional neural nets等网络。(Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.)

nine mode prediction used in intra prediction compression.

SUBTRACTIVE CLUSTERING ALGORITHM

说明：  EKF滤波程序，能用于信号处理和识别计算分析(EKF filtering procedure can be used to identify and signal processing analysis)

关于接连管道系统姿态解算的Matlab仿真，应用了四元数算法(Matlab simulation solver on a series of piping systems gesture, application of the quaternion algorithm)

AP聚类方法，是08年发表在“科学”上的聚类方法，本人从图像图像方面研究近十年，这是我所见过最好的聚类算法，本程序提供聚类演示，还把它用图像分割试验（matlab7.0环境调试）。(AP clustering method, is 08 published in " Science" on the clustering method, the image from the image in my research in recent years, this is the best I have ever seen clustering algorithm, Clustering presentation of this program provides, but also test it with the image segmentation (matlab7.0 debugging environment).)