2) nonstationary random vibration signal
非平稳随机振动信号
1.
In view of the disadvantages of the traditional time-varying parameters modeling algorithm about nonstationary random vibration signal of a spacecraft with closed spaced modal frequency,a multicomponent process neural network(PNN) autoregressive model was proposed,which was based on the empirical mode decomposition(EMD).
针对航天器非平稳随机振动信号模态频率密集的特点,提出了基于经验模式分解EMD(Empirical Mode Decomposition)的多分量过程神经网络PNN(Process Neural Net-work)自回归模型。
3) unsteady vibration signal
非稳态振动信号
4) 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。
5) 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。
6) 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。
补充资料：非正弦波信号发生器
非正弦波信号发生器
nonsinusoidal signal generator
充电状态。如此周而复始。Uc为三角形波，U。为矩形波。可按电容充放电的公式得矩形波的周期T一_~~，f_.ZR:}_~、二一，、一Z找七m}1十二厂}，犯形淡阴狈华 \八f/F一喜一1__ 1_一一、{_艺式1) 艺找七上n}1十二于} \八f/ .、_~_，一__.，Rl____，一.一一，田上式叫见:改尖八、C飘才即叫改堂狈华。田 1、￡图1(b)可知:改变U;值，即可改变矩形波的幅值。此外，由于电容C的充放电时间常数均为RC，故矩形波的占空比D一丝;票旦一。.:。目J目一~一T一’”“ 丑Rl+Rr肠Vz┌───┐│ )c匕││ N+ ││+ │└───┘ 左，一，布尸-了二尸Uz人l十式f士U: ┌──┬─┐ │ │ │┌─┼──┼─┤│ │tI │f2│├─┼──┼─┘│ │T/2 │ │ ├──┤ │ │ │ └─┴──┘ 图1矩形波信号发生器 (a)电路图;(b)波形图 锯齿波信号发生器电路如图2(a)所示。图中由运算放大器、稳压管和电阻R。、R、、R:组成带正反馈的迟滞型比较器，由结型场效应管和电容C构成反，~_，。、______.__R、__._二_、.、馈网络。当U。一U:时，U。一不拜~下U:，结型场效应~’翎一曰“一一“一一书’一”Rl+R，一乙’~~~~~管的漏极d处于正电位，工作在恒流源状态，它以恒定电流向C充电，使输出电压U。(~UC)直线上升，如图2(b)所示。“UcI升到Uc一二饭海瓦U:时，比较器发生跳变，其输出电压U乙由+U:跳变到一Uz，使Up一彩筑U:。这时漏极d处于负电位，源极s处于正电位，结型场效应管处于倒向工作状态，即d起源极作用，S极起漏极作用，栅极电压为正值，PN结正偏，sd间呈低阻状态，使电容C放电加速。所以，电┌──────┐│-一一节一 │└──────┘ ┌────┐ │ 卜。
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