Tallerseries

对图像进颜色空间分割，并进行聚类分析，代码简单，直接运行即可(clustering)

Sequential Gaussian Simulation

全国大学生数学建模2004年B题的程序。用Matlab编程。运行良好(Mathematical Contest in Modeling 2004 B title process. Using Matlab programming. Running well)

说明：  带挡板的传输线，二维电磁仿真，仿真方法为时域有限差分法(With a baffle of the transmission line, two-dimensional electromagnetic simulation)

：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.)

高频地波雷达完整仿真程序-MATLAB 源代码(Complete high-frequency surface wave radar simulation program-MATLAB source code)

compressed matlab related book

matlab实现rnn神经网络，对于使用的现场臭氧发生器数据，进行数据建模仿真，用现场数据对神经网络进行训练并得到参数(use matlab finish rnn)

matlab实现，附带数据，并有显示结果图的功能，很方便用的(It s implemented using matlab with data as attachment. It also has the function of showing the result and is very convenient to use.)

fm modulation in matlab