Eye_tracking

本代码是关于Multi-Dimensional Scaling（MDS）的代码，可以用于特征提取、特征选择，或是矩阵降维。(This file is part of the Matlab Toolbox for Dimensionality Reduction v0.4b. You are free to use, change, or However, )

说明：  AR过程的线性建模与功率谱估计 Yule-Walker法(自相关法) 协方差法；(2) Burg方法；(3) 修正协方差法 (The linear AR process modeling and Yule-Walker power spectrum estimation method (autocorrelation method) covariance method (2) Burg method (3) modified covariance method)

This book presents the MATLAB computer programming system as a problemsolving tool for scientists and engineers who have no prior knowledge of computer programming. It is based on a teach-yourself approach readers are frequently invited to experiment for themselves in order to discover how particular constructs work. The text was originally written as a companion to a hands-on course at the University of Cape Town. Most of the students taking the course had little or no computing experience and came from disadvantaged backgrounds. Consequently the book assumes that readers have no knowledge of computing, unlike most similar books on MATLAB.((2007 Elsevier)Essential Matlab for Engineers and Scientists(3rd Edition))

模糊自整定PID控制系统simulink仿真实例第二部分(Fuzzy self-tuning PID control system simulink simulation instance)

Blum-Goldwasser Probabilistic Cipher (BGC) Function and Blum-Goldwasser Probabilistic Decipher (BGC) Function

利用matlab读取ALSO SAR数据并进行成像。(ALSO image reading)

针对激光光斑图像或荧光小球等图像进行高斯拟合定位其中心坐标。可同时定位一幅图像中的多个小球。要求对象模型符合高斯分布。(For laser speckle images or small fluorescent balls image gaussian fitting location and its center coordinates. Can be positioning an image of the multiple balls at the same time. Request object model conforms to the gaussian distribution.)

本程序采用文献上所说明的通用处理方法对输入彩色图象进行增强处理(this programme is used some methods to enhance the imput color image)

二阶系统的最小二乘一次完成算法辨识程序；主要根据实验室对数据处理的程序改的(A complete second-order system least squares algorithm for identification procedures mainly based on laboratory data processing procedures reform)

The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.