msk-simulation-MATLAB-program

Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. (Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.)

simple matlab examples

矩阵计算中求逆中的gauseidel算法 速度比jacobi快多了(Inverse matrix calculation algorithm in gauseidel much faster speed than jacobi)

基于博弈论的认知无线电无线资源分配MATLAB程序(wireless resource allocation in cognitive wireless network using gaming theory in MATLAB)

effective segmentation algorithm

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.)

DVB-S2系统仿真代码，需要在2007版以上运行(DVB-S2 system simulation code, required to run at more than 2007)

多项式线性拟合，根据给出的（x，y）值，给出多项式的系数值。(Presented in this paper, according to polynomial linear fitting (x, y) value of polynomial coefficient values. )

惯性仪器测试与数据分析 [严恭敏 编] 2012年版，该书配套的MATLAB代码，非常具有学习意义。(Inertial instrument test and data analysis [yan gongmin, Ed.] 2012 edition, the book is matched with MATLAB code, which is of great learning significance)

Boll Spectral Subtraction