搜索资源列表
Time_Frequency_toolbox
- 非平稳信号分析之时频分析工具箱,附加使用说明文档。Time-Frequency toolbox, with reference guide.-Non-stationary signal analysis of time-frequency analysis toolbox, additional use of documentation. Time-Frequency toolbox, with reference guide.
emd
- 这是emd程序源码,里面已经对边缘效应进行了处理。可以用来处理非平稳信号-This is the EMD program source, which has been on the edge effects have been dealt with. Can be used to handle non-stationary signal
matlabsignalprocessingrar
- 1.本书包含的实例所使用的源程序清单,文件夹第3章~第7章分别包括各章节内的实例源程序。 2.源程序文件名与所在章节和实例序号对应,如:3_1.m为第三章实例一【例3_1】的源程序。 3.文件夹tftoolbox为2002版的时频工具箱,第六章“非平稳信号分析与处理”需要用到该工 具箱的部分函数。请将其拷贝到用户的MATLAB工作路径(如D:\R2006a\work) 4.各章节的M文件
HHT_tools
- 非平稳时变分析工具箱。现代信号处理的重要工具。-Non-stationary time-dependent analysis toolbox. An important tool in modern signal processing.
WTST_NST_filter
- 基于平稳-非平稳的滤波技术,主要应用于信号滤波,去噪。-Based on the stationary- non-stationary filtering technology, mainly used in signal filtering, de-noising.
Disfrct
- 离散分数阶傅里叶变换,可以处理非平稳信号,也可以很好的对抗多普勒频移,用在OFDM系统中尤为重要。-Discrete fractional Fourier transform, can handle non-stationary signal can also be very good against the Doppler frequency shift, used in the OFDM system is particularly
emdtu
- 对用Matlab软件仿真的非平稳信号,进行经验模态分解,进而分析非平稳信号特征。-Simulation using Matlab software on a non-stationary signals, empirical mode decomposition, and then analyzes characteristics of non-stationary signal.
WaveletTransform
- 时频分析方法是非平稳信号处理的一个重要分支,它是利用时间和频率的联合函数来表示非平稳信号,并对其进行分析和处理,利用时频分析法对语音信号进行去噪。-Non-stationary time-frequency analysis is an important branch of signal processing, it is the joint use of time and frequency functions to represe
HHT
- HHT(hilbert Huang-transfrom)可以实现同时对信号的时频分析,得到信号的Hilbert时频谱和能量谱,-HHT (hilbert Huang-transfrom) can achieve the same time, the time-frequency analysis, when the signal spectrum and Hilbert energy spectrum
lFusion
- 小波变换是在傅立叶变换的基础上发展起来的,它优于傅立叶分析的地方是它在空域和时域都是局部化的,其局部化格式随频率自动变换,在高频处取窄的时(空)间窗,在低频处取宽的时(空)窗,适合处理非平稳信号,在图像处理、模式识别、机器人视觉、量子力学等领域得到广泛应用。-Wavelet transform is a Fourier transform developed on the basis, it is better than Fourier
22
- 非平稳信号的一些处理函数,包括计算瞬时频率和群延迟及非平稳信号的生成。-Some non-stationary signal processing functions, including the calculation of the instantaneous frequency and group delay and non-stationary signal generation.
TFTB_TBX.ZIP
- 时频分析工具包,可用于非平稳信号处理,for matlab-This is the Time-Frequency Toolbox, a collection of about 100 M-files , developed for the analysis of non-stationary signals using time-frequency distributions. It consists in groups of si
Huang_etal98
- 经验模式分解(EMD)是处理非线性,非平稳信号的一种有效算法。本论文是黄锷先生关于算法的描述-Empirical Mode Decomposition (EMD) is linear and non stationary signals an effective algorithm. Mr. Huang E of this paper is the descr iption on the algorithm
HHT_power-system_power-quality_disturbances-detect
- 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
shipinfenxi
- 时频分析(GUI),非常适合观察研究非平稳信号的时频特性-Time-Frequency Analysis
lmd
- 包含国内外介绍局部均值分解(一种非平稳信号处理方法)的文献。-articles about Local Mean Decomposition method.
fulltext2
- 很好的非平稳信号的处理书籍,用于进行EMD分解-Good non-stationary signal processing books for the EMD decomposition
stft
- 短时傅立叶变换C++程序的实现,短时傅立叶变换(STFT)是研究非平稳信号最广泛使用的方法-Short-time Fourier transform C++ program implementation, short-time Fourier transform (STFT) is the study of non-stationary signals the most widely used method
EMD-envelope-improve-research
- EMD中包络算法改进的研究与分析,可以很好的实现非平稳信号的分解!-EMD in the envelope algorithm to improve research and analysis, can achieve a good decomposition of non-stationary signals!
Wavelet-Analysis
- 对于非平稳信号的分析不能依靠傅里叶变换,但可以采用时频分析的方法,其中加窗傅里叶变换是最简单的一种。但是,它有很大的局限性:当基本窗函数一旦取定,窗口的时窗宽度和频窗宽度就固定了,不会随时域和频域的位移而变化。-For non-stationary signal analysis can not rely on Fourier transform, but you can use time-frequency analysis meth