merwe01a

是学习粒子滤波的经典算法，更好了解粒子滤波的概念和理论(learning classical particle filter algorithms, a better understanding of particle filter concepts and theories)

：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.)

学习matlab非常好的资料，可以快速入门，打好基础进，而进行更深入的学习(Learning matlab very good information, you can get started quickly, lay the foundation for progress, but more in-depth study)

matlab GUI （各种图像处理）算法实例(matlab GUI)

Indexing object properties by signed numerical literals.

对于蜂窝移动通信的matlab仿真，实用性很强(For cellular mobile communication matlab simulation, very practical)

说明：  从别的地方下载的一个源文件，PLL希望能帮到你(Download from somewhere else, a source file, PLL hope you can help)

，应用MATLAB仿真按序选择嵌入位的DCT变换算法，对仿真程序运行后的各种参数 和效果图的变化进行了分析；最后结合GUI开发设计出数字水印执行过程仿真控制界面，并用常见的水印攻击测试了该算 法的鲁棒性。(Application MATLAB simulation embedded spaces in sequence selection algorithm of DCT transform, simulation program running on the various parameters and the effect of changes in the map analysis Finally, the design of GUI development of the implementation of digital watermarking process simulation control interface, and common watermark attacks tested the robustness of the algorithm.)

无香粒子滤波的一个matlab例程，其中有ekf,ukf,pf,upf(In these demos, we demonstrate the use of the extended Kalman filter (EKF), unscented Kalman filter (UKF), standard particle filter (a.k.a. condensation, survival of the fittest, bootstrap filter, SIR, sequential Monte Carlo, etc.), particle filter with MCMC steps, particle filter with EKF proposal and unscented particle filter (particle filter with UKF proposal) on a simple state estimation problem and on a financial time series forecasting problem. The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this di)

camac神经网络逼近函数,函数主要为z=(X^2+Y^2)*SIN(2*PI*X)(camac neural network approach, function primarily as z = (X ^ 2+Y ^ 2)* SIN (2* PI* X))