nls2

优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来表征原信号的频率含量。 本文研究了基于HHT的暂态电能质量扰动检测方法，介绍了HHT的基本原理和利用HHT检测电能质量多扰动信号的实现方法。仿真试验表明该方法可以实时检测扰动的起止时刻，持续时间和扰动幅度，适用于电能质量多扰动的监测和辨识系统。 (Hilbert-Huang Transform(HHT) is a new non-stationary signal processing technology，including the Empirical Mode Decomposition(EMD) and Hilbert spectral analysis．In this method，arbitrary non-stationary signals was divided into a series data sequence with different characteristic scales after the first EMD treatment，each sequence is called an intrinsic mode function(IMF)，and then each IMF component gained corresponding the Hilbert spectrum though Hilbert spectrum analysis，a summary of all Hilbert spectrum assembled to the spectra of the original signal．In essence，this method is a stable processing for non-stationary signal，which decomposed the different fluctuations or trends in the signal in rum，and represented the frequency content of the original signal using the final instantaneous frequency and energy． This paper study a method to detect power quality disturbances based on the HHT，in which the principle and the realization of the HHT and the realization of power quality disturbance)

这是一条飞行器轨道转移的程序，利用惯性原理来控制轨道(This is a spacecraft orbit transfer procedures, the use of the principle of inertia to control track)

Algorithm Collections for Digital Signal Processing Applications using Matlab - E.S. Gopi

用MATLAB中的SIMULINK工具建立直接扩频的仿真模型并进行仿真(The SIMULINK with MATLAB tools for the establishment of direct spread spectrum simulation model and simulation)

对于matlab初学者很好的基本的经典的源代码学习例程(Good for beginners basic matlab classic study of the source code routines)

用FEM，有限元法解决电磁场中的相关问题，二维，三维，时域等一系列东西，佷用参考价值(Using FEM, finite element method to solve issues related to electromagnetic fields, two-dimensional, three-dimensional, time-domain and a series of things, Hen with reference value)

Lattice Boltzmann Simulation for Poiseuille flow in a channel

核主元分析程序，利用核函数将非线性数据映射到线性空间，再利用主元分析提取特征数据。(KPCA procedure uses the kernel nonlinear data mapped into linear space, and then using principal component analysis to extract feature data.)

This Ebook includes a number of examples of parabolic PDEs solved by programmes written in either C, C++, Fortran, or Matlab.

轨迹绘制。点击鼠标左键确定轨迹典型点，点击右键结束绘制。(Trajectory drawn. Click the left mouse button to determine the trajectory of a typical point, right-click to end the drawing.)