搜索资源列表
Invariant
- FWT_Stat用信号的平稳位移计算二进小波正变换 MM2_DWT图像的二进小波变换的模极大-FWT_Stat using signal to the smooth displacement dyadic wavelet transform is the two images MM2_DWT Progressive wavelet transform modulus maxima
exam1_sin01
- 信号功率谱密与平稳随机过程 的matlab仿真程序-signal power spectrum closely with the stationary random process simulation program Matlab
xiaobobianhuanyuyingyong
- 某一直升机齿轮箱上的早期损伤的特征是，在伴随振动信号上产生一个可变周期的非平稳扰动信号。要求按此特征构造一组有物理意义的数据仿真早期故障信号，应用小波变换技术分析故障的特征和发生时刻。-a helicopter gearbox early on the characteristics of the injury, In addition to the vibration signal produced a variable cycle perturbation of non-stationary
emd
- 我自己编写的基于经验模态分解的特征提取算法，EMD算法是把非平稳信号转化成平稳信号的分量和的一种方法。
Wiener
- 利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法-Wiener filtering
Signal_Denoising_by_Wavelet_Transform
- 阐述了小波变换去除信号噪声的基本原理和方法,研究利用小波变换技术对信号噪声进行抑制和去除非平稳信号的噪声。-Described wavelet transform to remove the signal noise, the basic principles and methods to study the use of wavelet transform the signal to noise suppression and unless the stationary signal nois
wienerfilter
- 利用平稳信号处理知识，进行维纳滤波，给出了仿真程序和方针结果，希望有用-The use of stationary signal processing know-how, Wiener filtering, given the results of the simulation procedures and guidelines for the hope that useful
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 analysis of the place is that
3
- 一维小波分析对平稳信号消噪 One-dimensional wavelet analysis on the stationary signal denoising -一维小波分析对平稳信号消噪 One-dimensional wavelet analysis on the stationary signal denoising一维小波分析对平稳信号消噪 One-dimensional wavelet analysis on the stationary signal denoisin
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 method, in which the windowed Four
EMD-matlab
- EMD为经验分解法，对非平稳信号进行分解，应用非常广泛-EMD decomposition method for experience, to the non-stationary signal decomposition, very extensive
Wavelet--analysis
- 小波分析 经典 实用 快速高效 非常适合非平稳信号分析-Wavelet analysis classic practical rapid efficient is very suitable for non-stationary signal analysis
feipingwenxinhaofangzhen
- 非平稳信号的分析仿真的源程序，效果很好，很是实用。-The source of the non-stationary signal analysis and simulation, the effect is very good, very practical.
EMD
- EMD 方法在理论上可以应用于任何类型的信号的分解， 因而在处理非平稳及非线性数据上，具有非常明显的优势,适合于分析非线性、非平稳信号序列，具有很高的信噪比。-EMD decomposition method in theory can be applied to any type of signal, which in the non-stationary and nonlinear data, with a very distinct advantage, suitable for anal
HHT
- 希尔伯特-黄变换，用于非线性非平稳信号分析-Hilbert- Huang Transform for nonlinear and non-stationary signal analysis
st
- ST 是由地球物理学家stockwell 编写的非平稳信号从时域到频域的转换工具-a signal analysis tool to transfer the signal form time domain to time-frequency domain
hht
- 希尔伯特变换以及进行end分解，将非平稳信号自适应分解-emd decomposition
tfrpwv
- 实现一个信号的WVD变换，针对的信号是非平稳的随机信号(To achieve a WVD transformation of a signal, the signal is a non-stationary random signal.)
EMD
- 信号处理及希尔伯特变换，可以用于非平稳信号处理(Signal processing and Hilbert transform can be used for non-stationary signal processing)
cyclostationary_toolbox
- 循环平稳信号是一类特殊的非平稳信号，其统计特征具有随时间呈周期变化的特点。旋转机械由于周期运行方式其振动信号具有循环平稳特性，因此利用循环平稳分析方法能够提取出在平稳假设下所不能得到的隐藏故障特征信息，为有效地分离和识别旋转机械早期微弱故障特征提供可能。(The cyclostationary signal is a special type of non-stationary signal whose statistical characteristics have a periodic va