灰色神经网络预测程序

call matlab function from C++.zip

电压型pwm四象限整流器滞环控制实现的matlab 仿真，希望能对大家有所帮助(The four quadrant rectifier hysteresis control strategy implementation)

《神经网络理论与Matlab7实现》书籍源码( Neural Network Theory and realize Matlab7 books-source)

稀疏贝叶斯方法mablab 工具箱，内嵌快速算法。(SparseBayes. . . . . . . . . . . . . . An Efficient Matlab Implementation of theSparse Bayesian Modelling Algorithm (Version 2.0))

licence plate recognition

近似熵MATLAB的计算程序，可以通过此程序对脑电信号EEG进行分析，达到你要的结果。程序仅供参考，里面可能有少许不足之处，希望大家不吝赐教。(approximate entropy MATLAB program, through this procedure right EEG EEG analysis you want to achieve results. Procedures for reference purposes only, which may have some shortcomings, we hope that substantive progress has spared no.)

实现MATLAB版本的卷积码，通过对移位寄存器的研究实现了卷积码的生成(MATLAB version convolutional code, through the shift register implementation of a convolutional code generated)

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.)

认知无线电中关于频谱感知的相关知识以及源程序(Knowledge on spectrum sensing in cognitive radio as well as source)

matlab生成dll方法的心得体会,十分适合初学者，值得借鉴(as above,the way to create dll by matlab)