stationary signal 中文意思是什麼

stationary signal 解釋
平穩信號
  • stationary : adj. 不動的，靜止的，不變的；不增不減的，固定的，裝定的。n. 1. 不動的人，固定物。2. 〈pl. 〉駐軍。n. -ariness
  • signal : n 1 信號，暗號；信號器。2 動機，導火線 （for）。3 預兆，徵象。adj 1 暗號的，作信號用的。2 顯著的...
  1. The method of detection on transient signal by the slice of cyclo - bispectrum in stationary random noise is proposed in this paper, simulation results are presented also

    摘要提出一種在平穩隨機噪聲中檢測暫態信號的循環雙譜切片方法，同時給出模擬結果。
  2. The key technique include nip signal ' s generation, serial port 422 communication, control system data acquisition and processing, stationary wave ratio of antenna, sending and receiving signal ' s attenuation of antenna and so on

    其關鍵技術包括nip信號產生， rs - 422串口通信，控制系統各模塊數據採集和處理，機載天線駐波比及收發信號衰減測量等。
  3. But, the eeg signal that we can acquired is very weak and is badly contaminated by strong background noise, such as electrooculogram ( eog ), electrocardiogram ( ecg ), and line noise ( 50hz or 60 hz power frequency interference ), etc. eeg is a typical non - stationary random signal with a certain extent of non - gaussian and non - linear character

    但是我們能夠獲得的腦電信號一般非常微弱、並伴有很強的背景噪聲，是一類典型的非平穩的隨機信號，且存在一定的非高斯性和非線性。傳統的分析處理方法一般將腦電信號近似認為是線性的準平穩的高斯分佈隨機信號，這使得分析結果往往不能令人滿意、實用性差。
  4. The fh signal is a kind of non - stationary signal that the frequency changes non - linearly along with the time. however, the time - frequency analysis technique is the powerful tool to deal with these signals

    跳頻信號是一種頻率隨時間非線性變化的非平穩信號，而時-頻分析是分析這類信號的有力工具。
  5. Stationary phase method shows that by using information along the ridge defined by the phase on transformed domain, original signal could be represented and reconstructed

    利用穩定位相法的近似公式分析可知，脊上分佈參數包含的信息與信號瞬時頻率變化規律密切相關，並且可以用來對信號進行重建。
  6. In this paper, the self - adaptive filter, the wavelet transform and the fourier transform are used to detect the stationary and the non - stationary signal of underwater sound in anisotropic noise field

    本文以各向異性噪聲場為例，分別對聲矢量信號中的聲壓、振速探討應用自適應濾波、小波變換、短時傅里葉變換檢測水聲平穩和非平穩信號的應用效果。
  7. The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high - energy noise and some non - gauss noise simply and effectively ; bi - spectrum can acquire more information from the original signal than power - spectrum, detect more information except from range and restrain the gauss noise. short - time speech signal can be considered as stationary and with periodic non - gauss signal, so we can make use of bi - spectrum to obtain the speech character and separate the speech and noise and detect morse telegraph signal ; complex number spectrum variance algorithm is put forward based on the deeply observing speech data, it is a new algorithm, experiment show that it is simple, effective

    統計演算法在解決周期信號、高能噪聲和高斯信號方面有獨特之處，能簡單有效提取以上噪聲的特徵;雙譜能夠提供比功率譜更多的有用信息，有效地檢測信號幅度之外的其它信息，並能有效抑制高斯噪聲，短時語音信號一般認為是平穩且有一定的周期性的非高斯信號，因而可以利用雙譜來提取語音信號特性並實現信噪分離;復數譜方差演算法是在對語音信號進行深入觀察和分析的基礎上而提出來的一種全新的語音特徵提取方法，此方法簡單而有效的提取了語音、噪聲的特徵以及檢測莫爾斯信號，基於實驗表明，該演算法取得了很好的效果。
  8. In the second, in allusion to non - stationary the characteristic of the signal, the author introduces to the method that using empirical mode decomposition to analysis the vibration signal so that the signal are made up of some intrinsic mode function, after this process, we can use stochastic subspace identification to identification the mode parameter of the structure and find the same work frequency

    其次，針對氣閥振動信號的非平穩特點，本文採用了經驗模式分解法（ empiricalmodedecomposition ）對振動信號進行分析處理，使之成為若干個基本模式函數imf （ intrinsicmodefunction ）和一個殘余量的線性組合。接著採用隨機子空間參數識別法對各個基本模式函數其進行結構參數識別，同時找出各種狀態的共同工作頻帶。
  9. In the signal treatment domain, there occurs a new method, more advanced " digital microscope " - - wavelet analysis. wavelet analysis aims at the treatment of non - stationary signal

    而在信號分析、處理領域，出現了更為先進的號稱為「數學顯微鏡」的小波分析，給我們帶來了新的工具。
  10. Because of " self - adaptable " and " focus - adjustable ", wavelet analysis ( wa ) is called " mathematics microscope " and plays an important role in processing the non - stationary signal

    而小波變換具有良好的「自適應性」和「變焦特性」 ，被譽為「數學顯微鏡」 ，在處理非穩定信號上有其特殊的地位和功能。
  11. It also studies the influencing factors including sampling frequency, pd waveform, decline time, time intervals between pd pulses, mother wavelet, center frequency of interference, entropy threshold value and snr. in addition, it applies wavelet packet method （ wpm ） for non - stationary signal de - noising in on - line pd monitoring and analyzes the processing results under different pd waveform, sampling frequency and noise level. firstly, the curve of pd

    基於小波包變換的非平穩信號消噪演算法（ wpm ）已較為成熟，本文將其應用於局部放電在線監測，通過研究其對不同局放波形、采樣率、噪聲水平下的處理效果，首次提出了理想白噪聲條件下提取局部放電信號的曲線，分析了各種因素對該演算法下信號失真的影響。
  12. The algorithm and application to unstationary signal analysis are distussed with wavelet transform in order to overcome defect of fourier transform only applied to stationary signal analysis on frequency domain. some comparisons are made between them

    論文針對傳統fourier變換只能在頻域上對穩定信號進行分析的不足，探討了利用小波變換進行非平穩信號分析的演算法和應用，並在兩者之間做了比較。
  13. Because reciprocating pump has complicated structure and more exciters, so its signal is a strong non - stationary signal, and carrying out fault feature extraction and diagnosis is very difficult to it, this text mainly researches on featute extraction of reciprocating pump ’ s valve vibration signal. this text introduces hht that huang put forward, it is a kind of signal processing method that suits for dealing with the stationary signal, and suits for non - stationary signal also. although the hilbert - huang transform ( hht ) is an effective tool processing the non - stationary signal, the hht based on emperical mode decomposition ( abbreviated as emd ) algorithm which adopts the cubic spline interpolation could n ' t acquire accurate characteristics for the strong non - stationary signals in that the spline produces an accurate result only under the condition that the data consists of values of a smooth function

    本文引入了huang等人提出的hht ， hht是一種既適合於處理平穩信號也是一種適合於處理非平穩信號的信號處理方法。盡管希爾伯特-黃變換（ hht ）是處理非平穩信號的有效工具，但基於經驗模態分解（簡稱emd ）的hht由於採用三次樣條插值而不能準確提取強非平穩信號的特徵，因為三次樣條插值只有在數據由光滑函數值構成的情況下才能產生精確的結果。為了解決這個問題，本文提出了基於改進的emd演算法，即採用分段三次hermite插值多項式（ pchip ）作為極值包絡的方法。
  14. Photometric properties of signal lights in traffic - stationary signal lights for road traffic

    交通信號燈的光技術性能.道路交通固定式信號燈
  15. Colours and colour limits for signal lights ; stationary signal lights at sea - routes and inland waterways

    信號燈顏色和顏色限制.第2部分:海洋與內河航道上固定
  16. Harmonic wavelet analysis can extract the singular components in the non - stationary signal effectively

    摘要諧波小波分析可有效提取非平穩信號中的奇異成分。
  17. Wavelet analysis is a kind of method to process non - stationary signal in these years

    小波分析是近年來發展起來的一種用於處理非平穩信號的分析方法。
  18. Colours and colour limits for signal lights - part 5 : stationary signal lights in local public transport

    信號燈顏色和顏色極限值.第5部分:地方公共運輸固定信
  19. The empirical mode decomposition ( emd ) introduced by huang is a new method in signal processing. it is suitable for non - stationary signal processing

    經驗模式分解（ emd ）方法是huang提出的一種新的信號處理方法，在非平穩信號分析方面有良好的性能。
  20. Continuous wavelet transform is a good analytical method in the time domain and the frequency domain, especially applicable for non - stationary signal processing

    連續小波變換方法是一種在時域和頻域均具有良好局域性的分析方法，尤其適用於非平穩信號的處理。
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