Matlab-picture

说明：  基于多目标的跟踪和实现，里面介绍了跟踪算法的现状，以及如何基于mean shift和卡尔曼滤波改进跟踪算法(Based on multi-target tracking and realization, which describes the status of the tracking algorithm, and how mean shift and Kalman filter based tracking algorithm to improve)

说明：  matlab中的龙格库塔解算，可以加快程序的运行速度.(matlab in the Runge-Kutta solver, you can speed up the process of running speed.)

说明：  在MATLAB环境下用PM算法进行的带通滤波器设计(In the MATLAB environment using the PM algorithm bandpass filter design)

说明：  读取文件并导入工作环境的程序(Read the file and import procedures for the working environment)

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. )

利用重标极差的方法来计算hurst指数的MATLAB程序(Hurst index was calculated by R/S method)

研一时做的音频检索的matlab代码，希望大家能用的上(Research a moment to do the audio retrieval matlab code, hope everyone can be on the)

NSGA2的Matlab代码，运行正确，注释详尽(NSGA2-Matlab code to run correctly, and detailed annotations)

code matlab progeram graphical model

it is code for temporal feature extraction