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使用matlab实现最小二乘法拟合，首先要先确定拟合函数的形式(Least squares fit using matlab implementation, the first should determine the form of fitting function)

用统计软件WINBUGS（此软件主要做贝叶斯估计），对指数分布和WEIBULL分布进行估计(the bayesian estimation of exponential and weibull distribution)

对于模式识别中的k均值（也称c均值）问题，给出了matlab实现。(pattern recognition for the k-means (also called c-means), is the realization of Matlab.)

一个PLS的matlab程序，包括求残差矩阵求回归方程的系数，删除回归分析的常数项，求误差平方和。(A PLS matlab procedures, including seeking residual matrix coefficients of the regression equation, deleted regression constant term, seeking the error sum of squares.)

将水印嵌入并提取的matlab程序，并可进行演示(The watermark embedding and extraction matlab procedures, and demonstrated)

卡尔曼滤波程序，卡尔曼滤波在动目标跟踪时的应用，(kalman filtering, target tracking)

此源码中包含了ButterWorth高通、低通，带通MATLAB仿真,Chebyshev高通、低通，带通MATLAB仿真,还有Notch,Peak MATLAB 仿真(This source includes ButterWorth high-pass, low pass, band pass MATLAB simulation, Chebyshev high-pass, low pass, band pass MATLAB simulation, as well as Notch, Peak MATLAB simulation)

QPSK仿真，误码率计算及其仿真结果的比较(QPSK )

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

使用MATLAB生成线性调频信号，并进行傅里叶变换，并进行脉冲压缩(Chirp signal is generated using MATLAB and Fourier transform, and pulse compression)