gmskmatlab_compress

journal with respect to research work with some related work on routing in networks.

ISDA 软件的matlab开发版本。用以处理半监督学习的分类问题。(ISDA is an efficient software for solving large-scale machine learning problems by using so-called kernel machines a.k.a support vector machines.)

传输矩阵法仿真一维磁光子晶体的透射率和法拉第旋转角(Transfer matrix method of simulation of one dimensional magnetic photonic crystal transmittance and Faraday rotation Angle)

This is a master thesis on fingerprint identification system. This has matlab code in appendix also.

optimization of speeed of bldc motor is now a days very much demanded in history

说明：  包含Simulink在控制系统、人工神经网络中的应用(With Simulink in the control system, the application of artificial neural network)

在MATLAB环境下实现滤波器功能 、 通过仿真表明 其效果良好(FILTER MATLAB DESIGN)

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用(The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image)

基于MATLAB的自相关函数基音检测的优化.pdf(Autocorrelation function of pitch detection based on MATLAB optimization. Pdf)