Image_Reconstruction_2D_FFT

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)

information coding cslculation

《MATLAB/Simulink建模与仿真实例精讲》第二章相关程序，保证可以运行(" MATLAB/Simulink modeling and simulation instance succinctly related procedures, to ensure that you can run)

speech compression using fft

A 99 LINE TOPOLOGY OPTIMIZATION CODE BY OLE SIGMUND

Send matlab variable(s) of any type over PNET connection.

德国低干扰谱，以及公路C级路面的路面不平度的c++实现。一些相关的资料，便于初学者理解。(German low interference spectrum, as well as C-level road highway pavement roughness achieved. Some relevant information, easy for beginners to understand.)

这是matlab7的编程教程,英文版,适合英文好的同学深入研究,不错喔(This is matlab7 Programming Guide, English version, suitable for students with good English-depth study, yes Oh)

Quantitative Image Recovery From Measured Blind Backscattered Data Using a Globally Convergent Inverse Method

自己写的包络谱函数，可以实现对时间序列求出他的功率谱(Write their own spectral envelope function, can realize to the power spectrum of his time sequence)