MY_origin

Implements an Room Impulse Response for having one source and one speaker at different positions in a meeting room

本程序采用半隐式方案实现变分水平集图像分割方法中的模型(Active contour ithout edge)(This program uses the program to achieve semi-implicit variational level set image segmentation methods model (Active contour ithout edge))

窄带随机过程窄带随机过程窄带随机过程窄带随机过程窄带随机过程窄带随机过程窄带随机过程窄带随机过程(Matlab achieve narrowband random process)

一维高斯积分程序 有三个文件 一个用来定义被积函数 一个是获得积分的和权 一个一用来计算区间上的高斯积分(one dimension Gaussian integral program there are three main files one is for the definition of the integral funciton one is to get the points and weight one is to abtain the Gauss integral)

MATLAB 7_0实用指南，系统的介绍了MATLAB的使用方法(Practical Guide for MATLAB 7_0, systematic introduction of the use of MATLAB)

string tokeniser using c language

高光谱遥感影像端元提取算法，采用单形体体积最小为准则(N-FINDR algorithm for endmember extraction using hperspectral remote sensing data)

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)

Simple ULA simulator for Capon

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )