OceansToolbox

Time split rinex! Input myfile.obs , time[s]

用Pology语言解决八段数码问题，可以正确运行，对初学者的学习有所帮助(Eight out of digital solutions with Pology language problem, you can run properly, help for beginners to learn)

matlab工具箱 包括测试函数 可实现函数调用(matlab toolbox includes a function call test functions can be realized)

四旋翼飞行器在MATLAB下的建模程序，非常好，非常真实(Four-rotor aircraft under the MATLAB modeling program, very good, very durable)

小波变换程序，包括水平细节系数、垂直细节系数、近似细节系数、对角细节系数的显示(Wavelet transform procedures, including display horizontal detail coefficient, vertical detail coefficients and detail coefficients, the approximate diagonal detail coefficients)

在二进制数字调制中，当正弦载波的相位随二进制数字基带信号离散变化时，则产生二进制移相键控(2PSK)信号。 通常用已调信号载波的 0°和 180°分别表示二进制数字基带信号的 1 和 0，用matlab实现其功能。(In binary digital modulation, phase when the sine wave with the discrete binary digital baseband signal changes, then generates a binary phase shift keying (2PSK) signal. Usually expressed respectively 1 and 0 binary digital baseband signal with the modulated signal carrier of 0 ° and 180 °, to achieve its function with matlab.)

一种非常实用的识别数字的matlab程序，内有使用说明(the code can be used to recognition numbers)

Multiple Coherehence simulate using matlab

基于结构可靠度中的响应面法的matlab程序，求解边坡的极限状态方程和可靠概率(Based on structural reliability of the response surface method matlab program, the slope of the limit state equation solving and reliable probability)

说明：  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.)