PSO-MIMO

：独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ，然后介绍了该算法在盲源 信号分离中的具体应用，并将此方法 与主成分方洼 ( P C A)进行了比较(: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algorithm for blind source separation in the concrete application of this method and with the principal component to depression ( PCA) were compared)

rbf神经网络训练以及模板，matlab应用神经网络可以省去很多人工模拟的麻烦(rbf neural network training, and templates, matlab application of artificial neural network can save a lot of trouble)

自编小波变换程序，小波基Morlet，matlab环境。(Self wavelet transform process, wavelet Morlet, matlab environment.)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

给定离散地震动加速度数据a、反应谱控制周期点tp、离散时间间隔dt、阻尼比z，计算地震动加速度反应谱rspa以及最大反应值出现的时刻tMax。(Given the discrete ground-motion acceleration data a, the response spectral controlling period tp, the discrete time distance dt, and the damping ratio z, calculate the ground-motion acceleration response spectrum rspa and the time loction of the occurrence of maximum response.)

spwm变频调速系统的研究及其仿真模型的搭建(spwm frequency control system and simulation models to build)

说明：  设计一个原型滤波器，以此为基础，可以设计出很好的滤波器组。(Design a prototype filter, as a foundation, you can design a good filter.)

以两个麦克风线性阵列为例通过相关函数进行音源定位，定位范围为0到180度(Case of two microphone linear array sound source through the relevant function location, location range from 0 to 180 degrees)

face reconigtion system use neural network

均值漂移算法是一种基于颜色特征的无参密度估计算法，被人们广泛的应用于图像滤波、聚类分析和目标跟踪等领域。(Mean shift algorithm is a nonparametric density estimation algorithm based on color feature, which is widely used in the fields of image filtering, clustering analysis and target tracking.)