小波信息熵

compute the mimo channel capacity and plot the result.

ICM_Algorithm Markov Random Field

MATLAB程序实例，学习编程语言的必需的！！有兴趣的可以查看，下载(MATLAB instance, to learn a programming language necessary! ! Interested parties can view, download)

改进的ESPIRIT方法，性能更好，分辨率更高，是超分辨率估计(high resolution DOS esimation)

该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法(This function is used to calculate the maximum Lyapunov exponent of time series- Wolf Method)

Matlab file to solve one dimensional heat conduction

skin detector can detect skin color

说明：  利用自相关函数估计基音周期，函数jiyinzhouqi，输入参数是分析语音文件名和帧移，帧移在5~10ms(use of the correlation function is estimated Pitch, jiyinzhouqi function, input parameters to analyze voice file names and frame shift, frame shift in the 5-10ms)

用matlab实现机器学习中的两个经典算法：k-means和knn。(Using matlab to achieve in two classic machine learning algorithms: k-means and knn.)

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. )