multipath_test

场景文字检测的一种matlab实现，效果比CCV差，但可提供给研究人员另外一种思路(text detection image, not very good performance)

matlab中fsolve语句数值效果较好，采用的解法是将方程组转化为最小二乘问题，调用指令lsqnonlin求解，所以，它参数的选取和优化指令的用法是一致的(matlab numerical results in fsolve statement better solution is to use the equations into a least squares problem, call the command lsqnonlin solution, therefore, it is parameter selection and optimization of instruction is consistent with the usage of)

说明：  matlab下优秀的leach仿真源代码，希望能给你的实验带来帮助(the code of the algorithm of leach in the matlab)

说明：  曲线拟合曲线拟合曲线拟合曲线拟合曲线拟合(Curve Fitting Curve Fitting Curve Fitting Curve Fitting Curve Fitting)

topology optim 88 line code

是matlab 的GUI编程中文参考手册，很实用的(gui-matlab)

说明：  关于解微分方程的matlab小程序，适合本科生学习使用。(MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is analysed using the Symbolic Math Toolbox, then more complicated chaotic systems are simulated using the MATLAB ODE solvers. Some advanced programming techniques such as Object Oriented Programming (OOP) and Graphical User Interface (GUI) programming are briefly covered. The aim of this lecture series is to introduce students to computational methods in MATLAB to solve problems arising in physics that cannot be solved analytically. No prior knowledge of MATLAB is required. Themes of data analysis, visualization, modelling and programming are explored throughout these lectures. )

一种改进的EEMD信号处理方法,总体与EEMD方法相似，在白噪声的处理上更加科学（CEEMD)(An improved EEMD signal processing method, the overall similar to EEMD method, on the processing of white noise more scientific (CEEMD))

通过极坐标变换获得图像的中心投影曲线，然后利用傅里叶变换获得图像的不变特征，从而实现对发生形变的物体的识别。(Polar coordinates to obtain the image through the center of projection curve, and then Fourier transform to obtain images of the same features, enabling the identification of objects deformation occurred.)

该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。(The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of the multilayer perceptron and unidirectional.)