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recursion
- 递归，是函数实现的一个很重要的环节，很多程序中都或多或少的使用了递归函数。递归的意思就是函数自己调用自己本身，或者在自己函数调用的下级函数中调用自己。 递归之所以能实现，是因为函数的每个执行过程都在栈中有自己的形参和局部变量的拷贝，这些拷贝和函数的其他执行过程毫不相干。这种机制是当代大多数程序设计语言实现子程序结构的基础，是使得递归成为可能。-Recursion, is a function to achieve a very important part of many programs
lmd2
- 局部均值分解Local Mean Decomposition 用于振动信号的自适应分解，获得若干分量，非常实用。-Local Mean Decomposition Local Mean Decomposition is used to the adaptive Decomposition of vibration signals, gain some weight, very practical.
LMD-sofware
- local mean decomposition 软件原理描述-local mean decomposition Software Principles
TestLMD
- 测试成功的局部均值分解算法，可应用在故障诊断中-The test successful local mean decomposition algorithm，can be used in fault diagnosis
2014911LMD
- 局部均值分解算法，适用于从事机械信号处理研究人员，对LMD方法的初步认识-Local mean decomposition algorithms for signal processing researchers in mechanical preliminary understanding of the LMD method
lmd
- 此程序主要是提供了信号非线性分解的一种新方法，局部均值分解，程序运行完整，可以使用，可供初学者学习使用，模拟仿真。-This program is mainly provides a new kind of nonlinear signal decomposition method, the local mean decomposition, programs run is complete, you can use, for beginners learning to use, and sim
lmd
- 局部均值分解是将复杂的多分量信号分离出纯调频信号和包络信号，将其相乘得到一个瞬时频率-Local mean decomposition is a complex multi-component signal separating pure FM signal and the envelope signal, which is obtained by multiplying an instantaneous frequency
xianglingxishu
- 相邻系数引入到小波变换，用局域均值分解特征提取-Adjacent coefficient is introduced into the wavelet transform, using the local mean decomposition feature extraction
lmd2
- LMD（局域均值分解）程序。与经验模态分解的思想相近，是一种较新的处理非平稳信号的方法，但LMD方法的端点效应更小些。-LMD (local mean decomposition) program. And empirical mode decomposition similar idea, is a relatively new method for non-stationary signals, but the end effect is much smaller LMD method.
LMD
- LMD算法实现，学习局域均值分解的可以参考下-LMD algorithm, learning the local mean decomposition can refer
lmd-test
- 该软件包是局部均值分解的源代码,包括LMD的实例分析，对初学者理解LMD算法具有很大帮助。-The package is local mean decomposition of the source code, including examples LMD analysis, beginners understand the LMD algorithm has great help.
lmd
- LMD matlab 程序 局域均值分解，利用滑动平均求的，不是用三次样条-LMD matlab program local mean decomposition, using the sliding average demand, not by Cubic Spline
two-WEI_EMD
- 二唯局域均值分解程序，可以进行图片处理，附属处理！-Only two local mean decomposition process can be carried out image processing, affiliated to deal with!
LMDPJADE
- 在信号处理里面，面对信号复杂奇异等问题，我们提出一种LMD+JADE的分解方法。先是对信号进行局部均值分解，进行升维，在用盲源分离方法进行特征提取。-In signal processing, the problem such as singular signal complexity, we propose a method of decomposition of LMD+ JADE. First the local mean decomposition of signals, l d, in
LMDYUANCHENXU
- 局部均值分解是继小波分解、经验模态分解之后的又一种新的信号处理方法，本文件提供了LMD的源代码，可供大家下载。-Local mean decomposition is a new signal processing method after wavelet decomposition and empirical mode decomposition. This paper provides the source code of LMD.
lmdmatlab
- 局部均值分解（Local Mean Decomposition）的matlab程序，内附具体例子-Local Mean Decomposition (Local Mean Decomposition) matlab program, containing a specific example
teager-and-lmd
- 用teager能量算子来解调出复杂信号的纯调频挑夫函数，用LMD来进行局部均值分解-Pure FM demodulated complex signal porters function with Teager energy operator, using LMD to carry out the local mean
NLMDenoising
- 非局部均值（Non-Local Means）去噪算法，里面有实例- Non-local mean (Non-Local Means) denoising algorithm, which has examples
LMD
- 局部均值分解matlab代码，能够较好地将信号进行分解为一系列的PF分量(local mean decomposition)
LMD matlab程序
- 局域均值分解法将一组非平稳信号分解为若干个PF信号和一个残余信号。可以将高频信号分解为低频信号，并且没有失真。(The local mean decomposition method decomposes a group of nonstationary signals into several PF signals and a residual signal. The high frequency signal can be decomposed into low frequency sign