double_pwm_inverter

完成M=4正交信号的数字通信系统的蒙特卡罗仿真(The completion of M = 4 orthogonal signals in Monte-Carlo simulation of digital communication systems)

matlab写的蛇形算法，效果很好，内附图片，通过改变输入的图像运行自己的程序。( snake algorithm with matlab , works well.)

UWB，超宽带信号分析必用的子函数，第16部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 16!)

使用Kalman滤波实现二维图像中目标的轨迹跟踪(Two-dimensional images using Kalman Filtering Target tracking in)

MLP for Approximation sinc(x,y)=(sin(x)x)*(sin(y)y)

说明：  Matlab, 实用程序，matlab实用程序百例，希望对大家学习有所帮助。(Matlab, utility, matlab utility hundred cases, we hope to learn helpful.)

介绍自适应均衡算法RLS的基本代码，可以仿照编写相关程序(RLS adaptive equalization algorithm introduces the basic code, you can follow the preparation of related procedures)

两个发射天线，两个接收天线的程序，包括编码，调制，解调等。(two transmit antennas two receive antennas system)

用matlab编写的用于医学图像。很实用。大家可以参考参考。(Using matlab to prepare for the license plates feature extraction. Very practical. Members can refer to reference)

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. )