LBFGS

实现数据的高通、带阻、低通的数字滤波。 非常适合初学者使用(Data of high-pass, band stop, low-pass digital filtering. Very suitable for beginners to use)

为我们提供了一段白噪声数据产生的matlab程序(to provide us with a white noise of data procedures Matlab)

说明：  使用薄板样条函数，完成点对的非刚体配准方法。此类提供算法的封装。(Use of Thin plate spline, the completion point of the non-rigid registration method. Such packages provide the algorithm.-)

说明：  介始了图像增强的主要技术，特别是图像直方图、频率域滤波、彩色图像分解处理技术，有matlab代码。(Medium before the main image enhancement technology, especially the image histogram, frequency domain filtering, color image decomposition process technology, a matlab code.)

Speech processing and dynamic time wraping codes

该程序用于读取欧空局软件polsarpro处理得到的相干矩阵(The program is used to read a coherent matrix after processed by ESA processing software polsarpro )

D-S证据理论数据融合，用于时频分析算法，基于掌纹识别的在线身份验证 识别算法本科毕设。( D-S evidence theory data fusion, For time-frequency analysis algorithm, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity.)

This program calibrates the Ornstein–Uhlenbeck process, a mean reverting AR(1) stochastic process. The parameters are estimated using (1)Least Squares fitting and (2)Maximum Likelihood estimation.

代码的mrics。M’是从他们的傅立叶系数的一个子集，使用总变分正则化图像重建的分裂Bregman方法的实现。使用代码指令可以在文件“mrics顶在评论中发现。”。一个演示脚本也包括在内，显示正确的使用方法。(The code ‘mrics.m’ is an implementation of the Split Bregman method for reconstructing images a subset of their Fourier coefficients using total-variation regularization. Instructions for use of the code can be found in the comments at the top of the file “mrics.m”. A demo script is also included that demonstrates proper use of the method.)

机器学习经典决策树算法的实现 输入训练标签输出预测结果(the classificial machine learning algorithm, input label and traning set and get predictions)