genetic-model

说明：  直接序列扩频的一个例子，对学习这方面知识，和编程都有很好的帮助(An example of direct-sequence spread spectrum, to learn that knowledge, and programming are very helpful)

说明：  K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。(K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.)

matlab工具箱：无迹卡尔曼滤波器及其适用的平滑器(UKF Filter and smoother)

关于turbo码的译码matlab源码，主要有map,MAX_LOG_MAP,LOG_MAP等资料(Decoding of turbo code matlab source code, there are map, MAX_LOG_MAP, LOG_MAP etc.)

该代码为基于灰色神经网络的预测算法，里面数据累加作为网络输入(The code is based on the gray neural network prediction algorithm)

在MATLAB中通过四阶龙格库塔法，计算时滞微分方程,(In MATLAB by fourth-order Runge-Kutta method to calculate the delay differential equation)

根据皮克里斯波导模型计算不同模态声速，从而计算发射接收点间距离(Model calculation according to Pique Reese waveguide modal sound velocity, so as to calculate the distance between the transmitting and receiving points)

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)

可以对于数据进行多次拟合，其功能就是Matlab的Polyfit函数(very useful for poly curve fit)

simulation presure proses rig with NN backpropagation