encrypt

CP-OFDM的MATLAB源代码，简洁明了，非常适合初学者(Cyclical Prefix-Orthogonal Frequency Division Modulation；MATLAB source code；Brief and clear Better for the beganners.)

进行逐步线性回归，相关分析过程的matlab方法，含噪脉冲信号进行相关检测,关于神经网络控制，各种kalman滤波器的设计，使用混沌与分形分析的例程。( Stepwise linear regression, Correlation analysis process matlab method, Noisy pulse correlation detection signal, On neural network control, Various kalman filter design, Use Chaos and fractal analysis routines.)

能够利用偏最小二乘回归模型分析电力系统谐波发射水平，MATLAB编制(Able to take advantage of partial least-squares regression model launch level of power system harmonics, MATLAB preparation)

path planning of mobile robot

Matlab 源程序，支持向量机的工具箱，用于分类识别研究(Matlab source file，Support vector machine toolboox，for recognition and classification)

说明：  无线传感网络节点分簇算法的研究，包含leach分簇(Wireless sensor network node clustering algorithm, including leach clustering)

COURS SUR LES RESISTANCES

calculate to define the relation between a reference object and another object in the image, according to the dilation of the reference object using mathematical morphology

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

PSO AND PID TUNING PARAMETERS