chapter5

本文简介了VC++和MATLAB特点，探讨了MATLAB与VC++接口编程的三种方法(This paper introduces the characteristics of VC++ and MATLAB to explore the MATLAB and VC++ programming interface, the three methods)

INface toolbox for illumination invariant face recognition

分别设计理想低通滤波器、巴特沃思滤波器、指数滤波器、梯形低通滤波器,并对含高斯噪声的图像进行低通滤波，截止频率自选，观察不同的截止频率,不同的滤波器的滤波效果。(Were designed for the ideal low pass filter, Butterworth filter, exponential filter, ladder low-pass filter, and Gaussian noise images with low-pass filter cutoff frequency chosen to observe the different cut-off frequency, different filter filtering device.)

reactive power control paper document

普通永磁同步电机的直接转矩控制和基于空间矢量调制的直接转矩控制仿真模型(Direct Torque Control ordinary permanent magnet synchronous motors and direct torque control simulation model based on space vector modulation)

matlab实现的粒子群算法，非常高效的算法，希望对大家有用哦(matlab implementation of the particle swarm algorithm, very efficient algorithms, we hope to be useful Oh)

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 )

包括卡尔曼滤波主文件和函数文件,希望大家一起学习。(Including the Kalman filter master file and function file)

本代码主要实现了基于双字典交叉稀疏表示的SAR图像变化检测的功能。(This code mainly realize the function of SAR image change detection is based on the double cross dictionary sparse representation.)

粒子群算法的matlab程序，简单实用。直接出图形和结果(PSO algorithm matlab procedures, simple and practical. Direct result of graphics and)