solving-equations-matlab

线性方程迭代解法的matlab程序，可作为数值分析等的学习工具。(Iterative method for solving linear equations matlab program, can be used as numerical analysis , and other learning tools.)

自己编写的比较全面的故障诊断matlab函数程序，包括统计法、时域法、时间序列法、频谱及功率普密度函数、小波分析法程序中有详细的说明。(their preparation of a more comprehensive fault diagnosis Matlab function procedures, including statistics, time domain, time series, and power spectral density function Pronk, wavelet analysis procedures are described in detail.)

interface para el estudio de imagenes

说明：  对数据进行eemd计算，得到数据的时间序列(matlab function of eemd)

MultiWavelet Tools是一个变换工具，可以用来进行压缩、去噪，边缘检测等等！(MultiWavelet Tools is a transformation tool can be used for compression, denoising, edge detection and so on!)

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.)

CSI对MIMO系统容量影响的仿真与分析(Simulation and Analysis for MIMO system capacity CSI effect)

智能天线技术Matlab版本的源码，方便对照学习(Smart antenna technology versions of Matlab source code, easy to learn controls)

说明：  matlab图像分割的实例，包括基于L*a*b空间的彩色图像分割，检测汽车目标，分水岭分割等程序源代码(matlab examples of segmentation, including those based on L* a* b color space, image segmentation, target detection vehicles, watershed segmentation source code)

介绍了几种稳健自适应波束形成算法，包括mvdr，对角加载，NCCB，最差性能最优化鲁棒波束形成等。(Several robust adaptive beamforming algorithms are introduced, including MVDR, diagonal loading, NCCB, worst performance optimization robust beamforming, and so on.)