huachuangjiance

元胞自动机 微观交通流仿真 N-S模型 交通行为的仿真(Cellular automata microscopic traffic flow simulation the NS model traffic behavior simulation)

实现彩色图象的读取,以及回度图象的读取,及相关的变换(Achieve color image reading, and reading back of the picture, and the associated transformation)

稀尔波特－黄变换 工具箱 包含全部的m文件。(HHT transform Toolbox)

这是一本关于Matlab2010版本软件的经典教程，内容丰富，清晰明了，非常适合初学者学习之用(This is a classic version of the software on Matlab2010 tutorials, rich in content, clarity, very suitable for beginners learning)

Image compressionusing ridgelet transform

仿真实现调制解调的过程,使用此程序需要MATLAB开发工具(Simulation of the process of modulation and demodulation, using this program requires MATLAB development tools)

神经网络训练与相关算法的描述，含有自适应学习速度(Neural network training and related algorithms described with adaptive learning rate)

讲了一些工程上matlab的应用，三篇很经典的论文，真的matlab爱好者认真一看。(Speak some engineering application of matlab, three papers very classic papers, really matlab lovers looked carefully. )

利用pcnn，每当有一批像素对应的神经元点火，对像素值进行一次修正。第n次点火的所有神经元用矩阵B（n）表示， 已经点火的像素位置标记为‘1’，未点火的标记为‘0’。通过一个3*3的模板滑过B（n），判断若模板内的值全为‘1’或全为‘0’， 则这些像素值不进行处理，否则若模板中心的值为‘1’，则增加该位置的像素值的大小，中心值为‘0’，则减小像素值。该功能由xiugai(B,K)函数实现 Beta取负值来抑制周围的神经元点火，因为输入pcnn（X）的是模糊图像，抑制之后使处理的像素值更加接近原图像的像素值（抑制参数通过试验确定，并不精确） 总之运行结果只是对像素值变化较大的边缘区域进行了像素值的修正。 通过不断调整参数使峰值信噪比有所升高，但是升高得不是太多(Use pcnn, whenever a group of pixels corresponding to the firing of neurons, a correction value for the pixel. Ignition of all the n-th neuron matrix B (n) represents, Already ignition pixel position labeled 1 , unfired labeled 0 . By a 3* 3 templates over the B (n), determines if the value within the template are all 1 or all 0 , These pixel values are not processed, otherwise the value if the template center 1 , then the increase in the size of the pixel values of the position, the center value of 0 , the pixel value is reduced. This function is implemented by xiugai (B, K) function Beta is a negative value around the element to inhibit neuronal firing, because the input pcnn (X) is a blurred image, the pixel values of inhibition after treatment of the pixel value closer to an original image (suppression parameter determined by experiment, is not exact) Results only in short run large changes in the edge region of the pixel values of the corrected pixel values. )

Resoluç ã o dos exercicios de metodos numericos