qpsk_mod_matlab_wy

本程序有本人实测的喷油脉宽波形，有基于小波的分析和希尔伯特黄分解的分析！很好用(Including injector-pulse-width waveform，there are some useful analysis based on wavelete and hilbert huang transform.)

4阶经典Runge-Kutta格式解常微分方程,Romberg(龙贝格）法求函数的积分,三阶样条插值（一阶导数边界条件）,定步长梯形法求函数的积分,矩阵A的伴随矩阵, Lagrange插值法数值求解,Newton迭代法解非线性方程f(x)=0(Fourth-order Runge-Kutta classic format solution of ordinary differential equations, Romberg (Romberg) method for function points, third-order spline interpolation (first derivative boundary conditions), fixed-step trapezoidal method for integrating functions, matrix A adjoint matrix, Lagrange interpolation method for numerical solution, Newton iterative method for solving nonlinear equations f (x) = 0)

这个程序是用来对pllpost进行仿真的，该思想基于多方面的考虑(This procedure is used to pllpost simulation, based on the thinking of a number of considerations)

说明：  UUV 6自由度模型代码，仿真实例。。。。(Verification of a six-degree of freedom simulation model for REMUS autonomous underwater vehicles.)

将一个小波结构的矩阵反排成小波包结构矩阵，根据最高的分解层次，将原图3*level+1块分开赋给矩阵以便单独操作，按从上到下，从左到右的顺序(Anti-matrix of a wavelet structure arranged in wavelet packet structure matrix, according to the highest level of decomposition, the original 3* level+1 separate assigned to the matrix in order to operate independently from top to bottom, left to right order)

AUTOCARAS EIGENFACES MATLAB

说明：  ASK调制 可用于MATLAB中实现2ASK 4ASK调制 仿真通道(Ask modulation and demodulation)

Several case studies for biomaterials.Included heart valves, wound dressing, dental biomaterials and joint replacement.

说明：  半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)

inverse zigzag function of matlab