butterworthlvbo

光流场的经典算法，对动态目标的检测和识别有帮助。(Classical algorithm of optical flow field, for dynamic target detection and identification help.)

This is a SVM classifier algorithm in Matlab.

完整的循环谱计算代码，可以直接运用，稍加改动就可以变成其他的循环谱形式，欢迎下载。(Complete cycle spectrum calculation code can be directly applied, a little change can become another form of cyclic spectrum, welcome to download.)

这是关于Matlab的信号处理的电子书，里面介绍了关于Matlab的信号变换和调制，模拟滤波器等。(This is the Matlab signal processing on the e-book, which introduced the report on Matlab and modulation of the signal transformation, such as analog filters.)

说明：  用java实现的UFO攻击游戏，里面有代码和可执行文件，操作简单，用鼠标左键单击UFO， 每击落10架之后，就会增加一架。(used to achieve the UFO attack game, and they code and executable files, simple operation, using the left mouse button click UFO, each downed 10, will be an increase.)

Figure Process Matlab

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. )

北京大学 流形学习与稀疏表示 课程课件.(包括基本数学工具、黎曼几何、降维方法、稀疏表示等理论和编程方法）(Peking manifold learning courseware and sparse representation. (Including basic mathematical tools, Riemannian, dimension reduction methods, sparse representation theory and programming methods))

实验一 Matlab使用及离散时间傅立叶变换 实验二应用傅立叶变换对信号进行频谱分析 实验三 数字滤波器的设计 (Experiments using Matlab and a discrete-time Fourier transform second experiment the signal Fourier transform spectrum analysis experiment three digital filter design )

星级联合双基地，sar回波生成，matlab源程序(sar echogen)