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说明：  实现HHT变换过程中一个重要过程--经验模态变换(HHT transform EMD empirical mode decompoeition)

MATLAB6.0数学手册.rar, 学习matlab的上好资料(coefficients Mathematics Handbook. Rar, learning the quintessential information Matlab)

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计算多重分形非趋势波动分析，高斯白噪声的生成程序，三相光伏逆变并网的仿真。( Calculate the multifractal trend fluctuation analysis, Gaussian white noise generator, Three-phase photovoltaic inverter and network simulation.)

对输入的图像进行单个像元的阈值分割，以提取出地物信息(The input images of a single pixel threshold segmentation to extract feature information)

matlab gui development example

说明：   这些程序,用于模拟仿真非线性动力学的分岔,混沌等动力学行为(it s for the nonlinear dynamics phenomenon of code.)

介绍了非高斯Levy噪声下的分数阶扩展卡尔曼滤波算法，对非线性离散系统进行滤波。(The fractional order Extended Kalman Filter algorithm for nonlinear discrete system under non-Gaussian Levy noises)

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)

BPSK programm implementation as a part of digital communication.