压缩感知

将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用(The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image)

matlab基础教程 包含基本的东西的 的 (matlab Essentials contains the basic things of)

tracking using kalman

2013年数学建模B题 功率放大器非线性特性及预失真建模的程序 可以直接测试运行 包含泰勒模型 多项式模型 神经网络模型等(2013 B title mathematical modeling and nonlinear characteristics of the power amplifier pre-distortion modeling program can be run directly test the model includes Taylor polynomial model neural network models)

MATLAB与c/C++ 混合编程，提高程序运行效率(Hybrid programming between MATLAB and C++)

采用有监督学习的hebb规则实现权值学习的学习，给出实际例子，单神经元自适应控制器.(Weight is realized by using supervised learning hebb rule of learning, gives a practical example, the single neuron adaptive controller.)

gradient demo file for comparison

数据聚类算法的一种K-means算法，可以用于模糊推理系统输入空间及规则数的确定(A data clustering algorithm K-means algorithm for fuzzy inference system of the input space and the number of rules to determine)

matlab advance tutorial for scientist.

说明：  Chained Beam-Constraint-Model (CBCM)：a powerful tool for modeling large and complicated deflections of flexible beams in compliant mechanisms(Chained Beam-Constraint-Model (CBCM)-a powerful tool for modeling large and complicated deflections of flexible beams in compliant mechanisms)