digital-signal-processing

说明：  matlab图像处理函数的详细列表,可实现查找(matlab image processing function of a detailed list can be realized to find)

系统过滤评价指标 AUC以及top-L-precision 以及汉明距离(AUC and evaluation system filter top-L-precision and the Hamming distance)

OFDm模型里面的调制和解调相关源程序代码(OFDm model inside the modulation and demodulation relevant source code)

fitz 及 lr fr 频偏估计 matlab函数 可直接应用 并附有简单的主程序(fitz and lr fr frequency offset estimation matlab function can be applied directly with a simple main program)

Ebook on Numerical computing on matlab

传统的完整的雷达成像RD算法，其中具体到了距离向、方位向德细节处理(the RD algorithm of traditional radar imaging,many detail are described in it,so it is very usefull for someone who is the first time to learn radar imaging )

用Matlab制作的简易GUI日历，由于没有涉及到GUIDE的使用，所以更值得供初学Matlab GUI设计的程序员(Calendar)

这是通信系统仿真的第六章的例题的仿真程序代码！挺好的，希望对大家有用！(This is a communication system simulation examples of Chapter VI of the simulation program code! Very good, and I hope useful for everyone!)

该文件为matlab环境下的批处理程序，可以处理同一个文件夹下面的相同类型的文件(The file is a batch program matlab environment that can handle the same folder following the same type of file)

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. )