Algorithm1

几个粒子滤波的粒子。包括普通的粒子滤波和基于扩展卡尔曼滤波器的粒子滤波器源程序。(Several particle filter particles. Including ordinary particle filtering and extended Kalman filter-based particle filter source.)

matlab扩展编程——matlab扩展编程完整版，pdf格式，包含语音部分的两章的matlab例程(Matlab programming expansion-- Matlab version of the expansion program integrity, pdf format, part of the speech contains two chapters of Matlab routines)

实现了图像的一些基本运算，包括高低通滤波(Realize the image of some of the basic operation, including high and low pass filter)

LMS predictive 1d matlab code

This matlab code is used for reduce PAPR in OFDM. This is employed Artificial Intelligent

这是MATLAB图形界面设计（英文原版），有需要的下下来看吧(MATLAB graphical interface design (English original), there is a need in the next down and see)

粒子群算法讲解及matlabb优化算法源码说明详细 运行方便 (Particle swarm algorithm explain and matlabb the optimization algorithm source detailed operation convenience)

这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。(This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networks, etc.), using the least squares method/maximum likelihood, Kalman filtering, Monte Carlo, particle filtering methods , but many readers need is there are a large number of simulation examples and program code, and with Chinese notes, the book the reader can combine the principles and formulas, a better understanding of the program. Also suitable for many readers on the basis of the existing code to improve the algorithm.)

利用谱减法进行语音信号的降噪处理，适用于语音增强领域(Using spectral subtraction to reduce the noise of speech signal, it is suitable for the field of speech enhancement)

此程序主要是检测黄色区域（用于人脸识别） 所用摄像头为USB320X240RGB的 原理： 先利用颜色找出符合条件的大面积黄 再利用模板闭运算补充连通与 再利用XY轴上连同域的寻找 标出人脸(The procedure is to detect the yellow area (for recognition) camera for USB320X240RGB used the principle: first, to identify qualified by the color yellow and then use a large area of the template to add connectivity and re-closing operation axis together with the domain using the search XY Face marked)