kalman_filter

极坐标法的潮流计算程序，非常适合各位电力同仁(Polar coordinates of the flow calculation procedure is very suitable for you Power Associates)

本matlab函数实现微分编码，可以处理通信信道中的偶发“倒相”现象，避免误码。(Matlab function of the differential encoding, communication channels can handle the occasional " down phase" phenomenon, to avoid error.)

说明：  河道浅滩预测 MATLAB编程(MATLAB programming shallow river forecast)

matlab中GUI的基本操作讲解，让初学者学会怎样使用GUI这一功能。(The basic operation of the GUI matlab explain, let beginners learn how to use the GUI this feature.)

DWT is any wavelet transform for which the waveletsDaubechies wavelets are discretely sampled. The code uses

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

spectral subtraction

文档介绍利用matlab进行非线性曲线拟合时的例子以及所需函数(The document describes the non-linear curve fitting using matlab example, and the desired function)

获取apk版本号,内带需要jar包。 经过测试可以使用。(get apk version)

说明：  基于直流潮流法的IEEE-30节点潮流计算(Power Flow Calculation of IEEE-30 Nodes Based on DC Power Flow Method)