MATLAB

Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities. (Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.)

matlab与CC++混合编程程序，可以参考下，适合初学者(matlab and C C++ mixed programming program, you can refer to, for beginners)

space vector pwm inverter implementation using matlab simulation

A matlab script to generate scatter plot for the M-ary Modultaion. it asks user to input the value of: M-ary, SNR(in db), number of binary carriers

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.)

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local featurexs extraction and matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixes, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.19.

为了提高移动通信系统中数据传输的有效性能,降低GMSK调制系统的误码率. 首先对GMSK调制系统进行分析,得到不同BT值GMSK调制的移动通信系统误码率和带宽的关系.通过引入具有纠错性能的编码技术,降低信息传输的误码率,提高系统的有效性. 本文给出了引入编码技术的GMSK调制系统的仿真模型,仿真结果表明,在相同的信噪比下,系统的误码率降低了1～2dB.(This paper mainly intends to improve the performance of the communication system and decrease the error bit rate of the information. First , the GMSKmodulation system was analyzed , and the relation of the BER and bandwidth in the different BT value was obtained. By introducing the encoding technology , the error bit rate of the information was lowered so that the performance of systemwas improved. This paper presents a simulated model . The results show that the BER of the system in the same SNR can lower 1 to 2 dB.)

matlab implementation of conjugate gradient method

this method is called the maximum likelihood estimation method .which is used to find out the parameters of johnson distribution .

这是一个基于Polya分布、运用matlab语言和极大似然估计的一个程序(This is a based on the Polya distribution, the use of matlab language and Maximum Likelihood Estimation of a program)