Multivariate-Statistical-Approaches

HHT精华讨论，对运用ＨＨＴ进行数据分析时遇到的问题有详细的解答，是学习ＨＨＴ不可或缺的资料(HHT essence discussion, this paper analyzed the data using HHT is there detailed solution to the problems encountered in the process of, is indispensable to study HHT data)

Kalman by Sid Meh constant velocity (filter)

说明：  D-S 多传感器信息融合 matlab实现(D-S multi-sensor information fusion matlab implementation)

在转速为48K/min时，滚动体的几个时域波形(In speed for 48 k/min, rolling body several time domain waveform )

多目标优化，自适应小生境遗传算法 面向低碳低噪的螺纹车削工艺参数优化(Multi-objective optimization and adaptive niche genetic algorithm)

说明：  利用som算法进行数据的聚类，实现无监督聚类(clustering the data with the som algorithm, that can relizing unsupervised cluster)

參考某論文發表中，使用Matlab撰寫的EZW壓縮程式碼，有些許bug無法找出，還請各位高手多多指教。(EZW compression using Matlab code written)

这是麻省理工林肯试验室的Paul Zarchan写的一本关于卡尔曼滤波教材的示例程序，Matlab程序，书名是《Fundamental of Kalman Filtering: A Practical Appoach》。(This is the MIT Lincoln Laboratory of the Paul Zarchan to write a textbook example on Kalman filtering program, Matlab program, entitled " Fundamental of Kalman Filtering: A Practical Appoach" .)

程序主要是求一段音频数据的基音频率 jiyinzhouqi.m --------求基音周期 find_maxn.m --------求自相关函数的最大值 test2.wav --------程序中用到的示例wav数据文件(The program is mainly the fundamental frequency for an audio data Jiyinzhouqi.m- for pitch period Find_maxn.m- the maximum value of autocorrelation function Test2.wav: the procedures used in the example of wav data file)

Beat Tracking by Dynamic Programming This page illustrates the use of the beat_* functions to implement a simple music audio beat tracker based on dynamic programming, as described in: D. Ellis Beat Tracking by Dynamic Programming J. New Music Research 36(1): 51-60, March 2007, DOI: 10.1080/09298210701653344.