稳态信号的英文

• steady state signal
• steady-state type of signal

• "信号"英文翻译    signal; semaphore; gun
• "动态信号" 英文翻译 :    dynamic signal
• "共态信号" 英文翻译 :    common-mode signal; commonmode signall; signal, common-mode
• "瞬态信号" 英文翻译 :    transient signals
• "同态信号" 英文翻译 :    homomorphic signal
• "状态信号" 英文翻译 :    operation signal; signal, status; stator signal; status signal
• "姿态信号" 英文翻译 :    attitude signal
• "层流状态信号" 英文翻译 :    laminar signal
• "俯仰姿态信号" 英文翻译 :    pitch attitude signal
• "滚转姿态信号" 英文翻译 :    roll attitude signal
• "偏航姿态信号" 英文翻译 :    yaw attitude signal
• "同态信号处理" 英文翻译 :    homomorphic signal processing
• "紊流状态信号" 英文翻译 :    turbulent signal
• "允许状态信号" 英文翻译 :    state enable signal
• "状态信号单元" 英文翻译 :    status signal unit
• "飞行状态信号牌" 英文翻译 :    flight mode annunciator
• "分机用户状态信号" 英文翻译 :    station status signal
• "固态信号发生器" 英文翻译 :    solid state signal generator
• "链路状态信号单元" 英文翻译 :    lssu link status signal unit
• "两状态信号方式" 英文翻译 :    two state signaling
• "潜态信号发射器" 英文翻译 :    submerged signal ejector
• "单通道瞬态信号记录仪" 英文翻译 :    single-channel instantaneous signal recorder; single-i tantaneous signal recorder
• "动态信号分析与仪器" 英文翻译 :    dynamic non-destruction measurement; dynamic signal analysis & apparatus
• "减速火箭保险状态信号灯" 英文翻译 :    retro reset light
• "减速火箭待发状态信号灯" 英文翻译 :    retro warning light

• The discrete fourier transform algorithm can analyze time - domain ' s stationary disturbance signal effectively and confirm the signal ' s distributing in the frequency domain
  而离散傅立叶变换则可有效地对稳态扰动进行分析，得出时域稳态信号在频域中的分布情况。
• The wavelet ' s characteristic of focus " varieties make wavelet better analyses ability in the time field and the frequency field . it is a perfect method of analyzing non - steady signal , and it is fit to analysis ultrasonic pulse echo signal
  而小波的“变焦距”特性使得小波分析在时域和频域中都具有良好的分析能力，是一种理想的分析非稳态信号的途径，适于对超声脉冲回波信号的分析。
• Based on the different work states of engine , the engine vibration signal collected in it ' s steady work conditions is analysed by the technique of confrequency spectrum ; the signal related to the fast run - up state is processed by stft and wavelet analysis
  根据发动机的工作特点，将振动信号分为稳态振动信号和过渡态振动信号。稳态信号采用传统的傅立叶分析方法，过渡态信号采用了短时傅立叶变换和小波方法。
• Based on the analysis of stable and transient waveforms in the power system , the paper use the exponent - typed signal to describe the signals in the power system including the dc element , fundamental , harmonics , interharmonics , subharmonics and the attenuation of the dc element and the sine waveform
  根据对电力系统暂、稳态信号波形的分析，本文用指数型信号来描述电力系统信号(包括直流分量、基波、谐波、间谐波、次谐波以及衰减直流分量、衰减正弦波等) 。
• This paper researches the non - direct - grounded system fault detection from software arithmetic view , whose main content is as follows : the paper analyses the system running characters before and after fault . and the paper analyses the fault transient signal and fault steady signal and all parts in fault steady signal after the single line - to - earth fault occurs , and discovers the fault laws and appearance of fault signal . the analyzing of the fault laws and fault phenomenon of non - direct - grounded system all above is the base of analyzing arithmetic
  本文针对小电流接地系统选线的问题，从软件算法的角度进行了研究，主要内容如下：对小电流接地系统故障前和故障后系统的运行特点进行了分析，并且对小电流接地系统发生单相接地故障后，故障暂态信号、故障稳态信号以及故障稳态信号的各种成分进行了深入的分析，找到了故障的规律以及其故障信号的表现形式，为对各种算法的分析比较打下了基础。
• In the case of white noise , we research the system stochastic differential equation and fokker - planck ( fpk ) equation detailedly . the mechanism of sr is re - explained by system response speed and a new method is introduced , i . e . , psr theory and method . it is shown that the output signal - to - noise ratio ( snr ) obtained by adjusting systems parameters can exceed that by turning noise intensity , especially when the input noise intensity has already been beyond the resonance region or point
  在白噪声假设下，以系统随机微分方程和其概率密度满足的fpk方程为基础，本文详细地探讨了非线性双稳态信号处理系统输出的数字特征，引入了系统响应速度，重新解释了随机共振现象产生的机理；通过系统参数调节，而不是调谐噪声来产生随机共振现象，提出了参数调节随机共振理论和方法。
• This paper analyses the steady and transient character of line fault when the neutral point connects to ground in different ways . from the angle of signal processing , the wavelet analysis theory and the artificial neural networks are introduced to fault location , in which the fault character is not the steady signal but the transient signal
  本文在中性点不同接地方式下，研究和分析了线路零序故障特征量的稳态和暂态特点，主要从信号处理的角度，提出将小波分析理论和人工神经网络原理运用到故障定位，将基于稳态信号的定位原理转移到基于故障特征量暂态信号的定位原理。
• Realizing the application of the empirical mode decomposition in the instantaneous characters extraction of the non - linear and non - stationary signals . in the meanwhile , it has proved that it is feasible to realize the similar pattern matching of the stocks " forecasting , if the empirical mode decomposition and the forward propagation learning algorithm of multi layered neural networks with feed back connections are related
  实现了经验模态分解方法在非线性和非稳态信号瞬时特征提取中的应用；同时利用实验数据证明了经验模态分解方法与多层反馈神经网络fp算法相结合，来完成股票数据预测中的相似模式匹配的可行性。
• The new criterion obtain the singular signal fully and exactly as the jumping - off place , take advantage of wavelet disposing the transient singular or faint signal , scarcity of the analyzing principle based on steady signal is fetched up and enhance the anti - disturb capability , so that it has higher reliability and accuracy
  新判据以更充分更准确的提取信号奇异性信息为出发点，利用小波对暂态突变信号或微弱变化信号处理上的优势，弥补了以往传统的基于稳态信号分析原理不足，增强了抗干扰能力，具有更高的可靠性和准确性。