matlab-chazhi

Matlab的神经网络工具箱实用指南,看完很容易上手使用(Matlab neural network toolbox of practical guidelines, the use of reading is very easy to use)

hmm speaker recognizer

本书将通信技术用代码的形式表现出来，读者可以通过代码来加深对理论知识的理解。(This book will use the code shown in the form of communication technology, the reader can through the code to deepen the understanding of theoretical knowledge. )

Description of the file: template matching source of Chamfer matching algorithm. It s OpenCV implementation

无刷电机的仿真模型，取合适的参数，模型仿真结果很逼真,(Simulation model of the brushless motor, take the appropriate parameters, the model simulation results are realistic,)

Matlab localize WSN wireless sensor

Beyond software architecture

应用matlab编程算法实现的匹配滤波器的编程源码(Matlab programming algorithm applied to achieve the programming source code matched filter)

《matlab gui设计学习手册》 第二版 2012新版 第六章源码(《matlab gui设计学习手册》 第二版 2012新版 第六章源码 matlab gui the second edition)

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. )