datafiltered

利用流形学习算法对高维数据进行降维，得到高维数据的低维流形(Use manifold learning algorithms for high dimensional data dimensionality reduction, to obtain a low dimensional manifold in high-dimensional data)

some useful example to let you know how matlab works and what function of matlab is.

Image Restoration using matlab

Tsuanmi aleart funcction

包括0均值和给定方差的高斯白噪声生成函数，以及复高斯白噪声生成函数(Including the 0 mean and given variance Gaussian white noise generating function, as well as complex Gaussian white noise generating function)

this is new approach for fuel cell control.it is really helpfull.

) Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. () Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. )

最小二乘支持向量回归模型 直接输入训练集和测试样本即可(Least squares support vector regression model direct input training set and test samples )

传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。 ，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results. The warp-kmeans clustering algorithm can effectively deal with the clustering problem of time series, and the complexity is low, and the number of iterations is less. The output has the value of the target function after each iteration, the clustering center and the clustering interval. There are test data and related documents, click test.m can be perfect operation.)

自己编写的OOK调制与解调，内含matlab-figure-file、matlab-M-file和得出的jpg格式图形！(I have written OOK modulation and demodulation, containing matlab-figure-file, matlab-M-file and come to the jpg format graphics!)