jiaodianMUTLAB

based on the matlab just descriptuion of the data

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. )

实现通信系统里面的最基本的几个功能函数，如卷积，DTF，IDFT，已及模拟调制。(Communication systems to achieve a few basic functions inside a function, such as convolution, DTF, IDFT, has been and analog modulation.)

最经典的ASTAR算法 很实用的 学机器人的可以进(The most classic ASTAR algorithm very practical learning robot can enter)

于群仿真MATLAB/Simulink书上列子(simulation )

说明：  交通流量预测数据集，某高速公路按天收集的交通流量。(Traffic flow forecasting data set, the traffic flow collected daily by a highway.)

说明：  matlab 经典算法，基于遗传模拟退火算法的聚类算法(Matlab classic algorithm, clustering algorithm based on genetic simulated annealing algorithm)

用MATLAB SIMULINK实现 高斯信道基带传输系统测试模型-定时提取仿(Achieved using MATLAB SIMULINK Gaussian channel baseband transmission system test model- timing extraction imitation)

DATA CLUSTERING USING HIEARAACHICAL TECH IN MATLAB

EKF扩展kalman滤波估计二维平面运动轨迹，实现二维平面有源雷达对目标距离和速度的跟踪。(Kalman filtering estimation of 2D motion trajectory EKF extension, realize the planar active radar for target distance and velocity tracking. )