平稳信号

论文比较分析了Fourier变换和小波变换特征，认为Fourier变换仅适合于平稳信号的分析而小波变换则适合处理突变信号。

Having compared features of Fourier transform with wavelet transform , the paper submits that Fourier transform is only suited to stationary signal and for wavelet transform to non-stationary .

运用Burg递推法做了ECG信号的功率谱，Burg递推法功率谱估计是平稳信号的算法，将这种方法运用到非平稳信号ECG信号中，求出了频率的变化点。

Besides , the paper makes the power spectrum of ECG signal by Burg recursive method . Burg recursive method power spectrum may be a stationary signal and was applied to the non-stationary signals of ECG signal , and finally calculate the change point of frequency .

一种改进的基于VC维的非平稳信号小波消噪方法

Modified VC-Dimension-based Wavelet-denoising Method of Non-stationary Signals

分数阶Fourier变换具有许多优秀性质，在非平稳信号的分析与处理上应用广泛。

The Fractional Fourier Transform has many excellent properties . It is widely used in nonstationary signal analysis and processing .

非平稳信号的一种ARMA模型参数估计法

A Parametric Estimator of ARMA Model for Nonstationary Random Signal

阐述了基于EMD非平稳信号分析方法，并对其进行编程实现。

This paper elaborates signal analytic methods based on EMD and their programming realization .

和经典的傅立叶变换相比较，EMD在非平稳信号分析方面具有独特的优势。

Compared to the classical Fourier transform , advantage of EMD is non-stationary signal analysis .

一种针对循环平稳信号的变遗忘因子RLS算法

A Variable Forgetting Factor RLS Algorithm for Cyclostationary Signals

因为合成孔径雷达（SAR）信号是一种复杂的非平稳信号，所以合适的时频分析方法是进行SAR图像处理与分析的关键。

Because SAR signal is a complex non-stationary signal , a suitable time-frequency analysis method is the key technique for SAR image processing and analysis .

新兴的小波理论优于传统的Fourier分析方法，是分析暂态非平稳信号的有力工具。

The new wavelet theory , which is superior to the traditional method with the Fourier , is the powerful tool to analyze the transient unsteady signals .

Kohonen自组织神经网络在准平稳信号特征提取中的应用

An Application of Kohonen 's Self-Organizing Neural Network to Feature Extraction of Quasi-Stationary Signal

HHT方法是近年提出的最新的处理非平稳信号数据的有效方法。

The latest proposed HHT is the effective method of processing the non-stationary signal data in recent years .

最后以HHT去噪为例，介绍了基于HHT的非平稳信号分析仪的应用。

Finally , an example of noise removal is given to show the application of the signal analyzer .

基于Lamb波的损伤监测方法是结构健康监测中一个研究热点，而Lamb波是典型的非平稳信号。

Lamb wave based Structural Health Monitoring method is one of the most interesting hotspots for SHM . Lamb wave is a typical non-stationary signal .

Cohen类双线性时频分布作为一种有力的非平稳信号解析工具，得到日益广泛的应用。

Cohen 's bilinear time frequency distribution has received considerable attention as a powerful tool for analyzing nonstationary signals .

Hilbert-Huang变换是一种信号分析新方法，特别适合于对非平稳信号进行分析。

Hilbert-Huang transform ( HHT ) is a new signal analysis method , very suitable for analysis of non-stationary signal .

Hilbert-Huang变换是最新发展起来的处理非线性非平稳信号的时频分析方法。

Hilbert-Huang transform ( HHT ) is a new two-step time-frequency analytic method to analyze the nonlinear and non-stationary signal .

介绍一种非线性非平稳信号分析的新方法，此方法是基于经验模态分解（EMD）技术的振动信号分析算法。

A new method is proposed to analyze the nonlinear and non-stationary signals based upon the technique of empirical mode decomposition ( EMD ) .

具有重要理论价值和广阔应用前景的希尔伯特-黄变换（Hilbert-HUANGTRANSFORM，简称为HHT），是NE.Huang于1998年提出的一种新的非线性、非平稳信号分析方法。

The Hilbert-Huang Transform ( HHT ) with important theoretical value and broad prospects for application , a new nonlinear and non-stationary signal analysis method developed by N. E.

基于小波包频带分解技术提出了信号浮动阈值滤波算法，指出该方法相对于Fourier频谱分析技术，对非平稳信号消噪具有更好的效果。

The floating threshold filter technique based on the frequency band decomposition of the wavelet packet transformation , which is superior to the Fourier spectrum analyze method for non-stationary signal denoising , is presented .

希尔伯特黄变换（Hilbert-HUANGTRANSFORM，简称HHT）是1998年由Huang等人首次提出的一种新的非线性、非平稳信号的分析方法。

The Hilbert-Huang Transform ( HHT ) is a new theory , which is first developed by Huang with other professors in 1998 , for nonlinear and non-stationary signal analysis .

为了更好的描述工程中大量存在的非平稳信号的时变特征，研究了基于Chirplet的自适应分解方法。

The adaptive chirplet decomposition is studied in order to depict the time-varying features of non-stationary signals better .

针对行波信号的传输特点，本文采用处理非线性、非平稳信号的新方法&希尔伯特-黄变换（Hilbert-HUANGTRANSFORM，HHT）对行波信号进行处理。

The thesis used Hilbert-Huang transform - a kind of method to process nonlinear and non-stationary signals to detect traveling wave signals , in accordance with the transmission characteristics of traveling waves .

在时延估计方面，比较成熟的多是对通用平稳信号模型的研究，性能优良的Chirp信号时延估计算法更是少之又少。

In time delay estimation domain , the mature approaches are mostly based on assume of stationary model . The excellent methods of Chirp signal time delay estimation are even less .

该方法使用EMD分离高频调制信号，然后利用基于峭度的自适应形态滤波器进行解调，提取非平稳信号故障特征。

The high frequency modulation signal was separated by using EMD , and it was demodulated by kurtosis-based morphological filtering . Finally , fault features of non-stationary signals were extracted .

经验模式分解（EMD）方法是1998年Huang提出的一种新的信号处理方法，在非平稳信号分析方面有良好的性能。

The Empirical Mode Decomposition ( EMD ), which has been recently introduced by Huang in 1998 , is a new method of signal processing and has superior performance in non-stationary signal analysis .

应用于雷达、声纳和通信等信息系统中的线性调频（LFM，chirp）信号是非平稳信号，即频率成分是随时间变化的。

Linear frequency-modulated ( LFM , chirp ) signal that is often applied in radar , sonar and communications system is nonstationary signal , in which the frequency varies with time .

通过仿真试验和实际故障信号，比较短时傅立叶变换、小波变换、Wigner-Ville分布对非平稳信号的敏感性。

It was studied in practice of Short Time Fourier Transform ( STFT ), Wavelet Transform and Wigner-Ville distributing which is keenness to non-stationary signal .

EEG是非平稳信号，若只考虑某一时间段的EEG信息，则无法充分利用单次观测信号的全部信息，也难以实现准确率与判决时间的折衷。

However , the EEG is non-stationary signal ; it cannot take full advantage of EEG information if only consider the specific time interval signals , and cannot achieve a compromise between the decision time and classification accuracy .

然而，自发脑电信号非常弱，噪声大，而且是非平稳信号，因此合适的脑电信号分析研究方法是BCI系统的核心内容。

However , the spontaneous EEG signals are very weak , noisy , and non-stationary signal , so efficient methods of EEG analysis is the core of BCI system .