非平稳信号,non-stationary signal
1)non-stationary signal非平稳信号
1.Blind separation ofnon-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 ofnon-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 fornon-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。
英文短句/例句
1.Research on Array Processing for Multi-parameter Estimation of Non-stationary Signals;非平稳信号阵列多参量估计技术研究
2.Nonstationary signal analysis applied to fault diagnosis of HV circuit breaker非平稳信号分析在断路器故障诊断中的应用
3.Study of Time-Frequency Analysis and Processing of No-stationary Signals非平稳信号的时频分析与处理方法研究
4.Research on Fault Feature Extraction of Non-stationary Signal Based on HHT;基于HHT的非平稳信号故障特征提取研究
5.Discussion on the Application of Decomposing-frequency Hilbert-Huang Transform to Non-stationary Signal;分频Hilbert-Huang变换对非平稳信号的分析应用
6.Research on Beamforming Algorithm of Broadband Non-Stationary Signals and OFDM System;宽带非平稳信号和OFDM系统波束形成算法研究
7.Fractional Fourier Transform and Its Application in the Processing of Nonstationary Signals;分数阶Fourier变换及其在非平稳信号处理中的应用
8.Application of Hilbert-Huang Transform in Non-Stationary Signal Analysis;Hilbert-Huang变换及其在非平稳信号分析中的应用研究
9.Spectrum Equalization Based on Wavelet Transform for 2D Non-stationary Signal;二维非平稳信号的小波谱均衡处理方法
10.R&D on non-stationary signal analysis system based on parameter-sharing models基于共享参数模型的非平稳信号分析系统研制
11.Nonstationarity signal processing based on quadratic time-frequency analysis基于二次型时频分析方法处理非平稳信号
12.A Time-Frequency Analysis Method for Non-stationary Signals Based on Hilbert-Huang Transform and Its Application改进的HHT非平稳信号分析方法及其应用
13.Polynomial Model Based on Non-stationary Transient Signal Feature Extraction基于多项式模型的非平稳信号瞬时特征提取
14.Research on Mechanical Fault Feature Extraction Method Based on Non-gaussian and Non-stationary Signal Processing Theory基于非高斯、非平稳信号处理的机械故障特征提取方法研究
15.Research on Non-Stationary Processing Methods of Low Probability of Intercept Signals;低截获概率信号非平稳处理技术研究
16.Research on Multiple Parameters Estimation of Non-stationary Radar Signals;非平稳雷达信号多参量估计方法研究
17.Wavelet Packets Transform Denoise of Non-stationary Vibration Signal and Its Application to the Fault Diagnosis of Machine非平稳振动信号的小波去噪及其应用
18.Feature information identification of non-stationary geodetic signal with wavelet非平稳大地测量信号特征信息小波识别
相关短句/例句
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 ofnonstationary 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 typicalnonstationary signal and must adoptnonstationary 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。
3)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 andnonstationary 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 separatenonstationary 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 。
4)unsteady signal非平稳信号
1.It′s more suitable to use wavelet transform inunsteady 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 andunsteady 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。
5)non-stationary signals非平稳信号
1.To analyze and deal withnon-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 analyzingnon-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。
6)Non-Stationary Signal非平稳随机信号
1.Removal of Trend fromNon-Stationary Signal Based on Wavelet Transformation;仿真实验表明,该方法简单、高效,适用于非平稳随机信号的处理,是一种实用的趋势项剔除方法。
延伸阅读
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