1) 2D non-stationary signal
二维非平稳信号
1.
Spectrum equalization based on wavelet transform for 2D non-stationary signal;
二维非平稳信号的小波谱均衡分析方法
2) non-stationary signal
非平稳信号
1.
Blind separation of non-stationary signal based on non-orthogonal diagonalization algorithm;
基于非正交对角化算法的非平稳信号盲分离
2.
On-line blind source separation of non-stationary signals by multiple time-delayed decorrelation rule;
多时延解相关准则下的非平稳信号在线盲分离
3.
To solve the difficulty of time-delay estimation for non-stationary signal,an improved estimation method based on short-time Fourier transform(STFT) spectrogram correlated with frequency domain is presented.
目前的时延估计算法多数只能应用于平稳信号,针对非平稳信号时延估计,提出了一种基于短时傅立叶变换(STFT)谱图的瞬时频域相关法。
3) non-stationary signals
非平稳信号
1.
To analyze and deal with non-stationary signals, pe.
为了分析和处理非平稳信号，人们发展了信号分析理论，提出了许多时频描述方法。
2.
And this paper introduced the advantages of those methods in analyzing non-stationary signals and explains the merits and defects of those methods by analyzing the simulation signals.
介绍了短时傅立叶变换和小波变换两种时频分析方法,通过对仿真信号的分析,阐述了两种方法在分析非平稳信号时的优势和优缺点。
4) nonstationary signal
非平稳信号
1.
The Research on Nonstationary Signal Based on Time-Varying Autoregressive Model and Its Application in Fault Diagnosis;
基于时变自回归的非平稳信号建模及故障诊断应用研究
2.
This paper presents three methods of time-frequency analysis of nonstationary signal:Windowed Fourier Transform(WFT),Winger-Ville Distribution(WVD) and Wavelet Analysis,and illuminates their traits and limitations.
讨论了当前常用的三种非平稳信号时频分析方法,即窗口傅立叶变换(Windowed Fourier Transform)、Wigner分布(Winger-Ville Distribution)和小波分析(Wavelet Analysis)的特点,及其适用的局限性。
3.
Frequency-Hopping signal is a typical nonstationary signal and must adopt nonstationary signal processing methods.
跳频信号是典型的非平稳信号,必须采用非平稳信号处理方法。
5) nonstationary signals
非平稳信号
1.
Because of making the best of time-frequency domain characteristics of the signals, this method is suitable for not only time-invariance and stationary signals but also time-variance and nonstationary signals.
由于充分利用了信号的时频域特征,此方法既适用于时不变的、平稳信号又适用于时变的、非平稳信号,与传统的一维ESPRIT方法比较,改善了DOA估计的性能,尤其是在低信噪比和空间近角度时,性能的改善是明显的。
2.
In this paper we propose a blind source method based on Wigner Ville distribution, which can separate nonstationary signals effectively.
本文基于时频分析 ,通过利用信号的Wigner Ville分布 ,得出一种新的盲源分离方法 ,该方法能有效分离非平稳信号 。
6) unsteady signal
非平稳信号
1.
It′s more suitable to use wavelet transform in unsteady signal analysis than Fourier transform,especially with the twinkling or jumping signal included.
遥测速变参数处理方法大多基于经典分析方法,文中采用现代时频分析方法对遥测动态环境参数进行分析,对比算法在瞬态信号成分检测方面的优势,小波变换比傅立叶变换更适合分析非平稳信号,尤其是含瞬态或突变成分的信号。
2.
According to characteristics of Wavelet Transform and requirements of signals eliminate noise,this paper researches control noises of signals and remove noises from the steady and unsteady signals with the technique of wavelet.
根据小波变换的特点和信号消噪方面的要求,利用小波变换对平稳和非平稳信号进行消噪作了较深入的研究。
补充资料：二种非器──闻经二种非器
【二种非器──闻经二种非器】
﹝出华严经疏﹞
［一、二乘非器］，谓佛说华严经时，一切二乘根器狭劣，不能听闻。故出现品云：一切二乘，不闻此经，何况受持，故虽在座，如聋如瞽；是名二乘非器。（二乘者，声闻乘、缘觉乘也。）
［二、众生非器］，谓一切邪见众生，无信心故，非其根器，虽闻此经，闻即生谤，而堕恶道，是名众生非器。
﹝出华严经疏﹞
［一、二乘非器］，谓佛说华严经时，一切二乘根器狭劣，不能听闻。故出现品云：一切二乘，不闻此经，何况受持，故虽在座，如聋如瞽；是名二乘非器。（二乘者，声闻乘、缘觉乘也。）
［二、众生非器］，谓一切邪见众生，无信心故，非其根器，虽闻此经，闻即生谤，而堕恶道，是名众生非器。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条