頻域特徵 的英文怎麼說

中文拼音 [bīnyùtèzhǐ]
頻域特徵 英文
frequency-domain characterization
  • 頻 : Ⅰ形容詞（次數多） frequent Ⅱ副詞（屢次） frequently; repeatedly Ⅲ名詞1 [物理學] （物體每秒鐘振動...
  • 域 : 名詞（在一定疆界內的地方; 疆域） land within certain boundaries; territory; region
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. Study on the slow release feature of total dissolved solid and phosphorus in tung oil - coated compound fertilizer

    基於害蟲聲頻域特徵的儲糧害蟲種類鑒別研究
  2. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  3. Experiments show that, when use msp430f149 audio sensor to identify vehicles that contain plane, tank, truck and so on by time domain features and two - level f - ratio, the recognition rate is 82. 1 % ; when use both msp430f149 audio sensor and arm9 sensor to identify vehicles, and the recognition rate is much better than the original system and msp430f149 audio sensor. line spectrum of power spectra and 3 / 2 spectrum is used as frequency features on arm9 sensor, and it is caught by narrow - band bandpass filter

    實驗證明，在主頻為8mhz的msp430f149感知器上，採用基於時域特徵和二階f比的識別演算法，能夠實時地完成對飛機、坦克、卡車等交通工具的識別;將msp430f149感知器與基於arm9的高端感知器配合使用，且高端感知器採用功率譜線譜或3 / 2維譜線譜作為頻域識別特徵，能夠實時的對各類交通工具做更高性能的識別。
  4. Female courtship signal of the brown planthopper was made of many continuous regular pulses and male ' s signal was made of similar syllabics and had two types with different time domain characteristics. second male vibrational signal differed from male courtship signal with wide spectrum range and regular syllabics frequency. time domain characteristics of signals in different individuals even the same individual were different

    頻域特徵分析知，褐飛虱雌蟲求偶嗚聲信號的頻域特性較穩定，個體內比個體間差異小；雄蟲求偶嗚聲信號s 、 e片段頻譜范圍較寬，但主振頻率比較接近，差異不顯著； m片段頻帶較窄，主振頻率mvf略小於s 、 e片段，變異較小； m片段脈沖重復頻率prf為幻
  5. The characteristics of low frequency currents in the area of shuidong anchored floating whelf in the west of guangdong coastal waters

    粵西水東單點系泊海域潮流和低頻流特徵
  6. And, an algorithm for constructing lexical chains based on hownet knowledge database is given

    通過計算詞義相似度首先構建詞匯鏈，然後結合詞頻與區域特徵進行關鍵詞選擇。
  7. Feature extraction on frequency - domain of ships radiated - noise based on multiresolution analysis

    基於多解析度分析的艦船輻射噪聲頻域特徵提取
  8. Extraction and fusion of frequency - domain features from ship radiated - noise based on wavelet packet and - dimensional spectrum

    維譜的艦船輻射噪聲頻域特徵提取及融合
  9. Most of the existing traffic anomaly detection methods discuss only the characteristics in time domain, but the characteristics in frequency domain are less involved

    現有的流量異常檢測方法大都僅僅討論了流量信號的時域特徵，而對其頻域特徵較少涉及。
  10. ( 3 ) features of turbopump test data both in time domain and in frequency domain are analyzed using statistical estimation methods. the value of applying these features into nd is discussed

    （ 3 ）應用統計特徵估計方法，分別對渦輪泵試車數據的時域特徵和頻域特徵進行了統計分析，並討論了這些特徵在新異類檢測中的應用價值。
  11. These three classifiers are a linear classifier based on fuzzy features, a hierarchy classifier based on features of geometry definitions and a distance classifier based on frequency features of stroke curvature

    使用的分類器分別為基於模糊特徵的線性分類器、使用幾何定義特徵的分層分類器以及基於曲度頻域特徵的距離分類器。
  12. The digitizer can digitize the dynamic analog signal and analyze its time and frequency domain character through processing the acquisitioned data. it can be applied to lots of fields

    數字化儀能夠將模擬信號數字化，通過對採集到的數字信息實現數字信號處理，詳細分析輸入信號的時域、頻域特徵，在各領域中有著非常廣泛的應用背景。
  13. After the view and analysis of shock response signal character in frequency domain, the steps such as signal scale adjustment, normalization of optimized parameter and the interpolating operation are taken to improve the fit precision

    在觀察與分析沖擊信號的頻域特徵以後，採取信號尺度調整、優化參數歸一化以及插值運算等措施提高演算法的擬合精度。
  14. Vxibus data acquisition module plays an important role in many automatic test systems. the characteristics of the input analog signals in the time and frequency domain can be obtained with the acquisition of the module

    Vxi數據採集模塊是自動測試系統的重要組成部分，它的作用主要是將模擬信號數字化，通過對採集到的數字信息的處理，詳細分析輸入信號的時域、頻域特徵等。
  15. This contains lateral inhibition theory ' s mathematics model, stability criterion, time domain and frequency domain feature, the function of enhancing the image ' s contrast and the object ' s frame and other functions applying in image segmentation

    其中包括側抑制理論的數學模型、穩定性判據、時域特徵、頻域特徵、側抑制網路突出圖像邊框、增強反差的功能以及在圖像分割中的應用。
  16. Because the characteristics of frequency domain is slightly affected by the coupling state and only related with the defects by revising of the system, the technology of ultrasonic wave spectrum analysis is necessary tool for quantity or automatic testing

    由於頻域特徵受耦合狀態等的影響較小，且經過系統修正後，能夠做到頻域特徵僅與缺陷有關，因此超聲波頻譜分析技術是超聲波定量檢測或自動檢測不可少的工具。
  17. With the development of radar technology, radar system has been more diversiform and complicated, which make ecm face much more complex electromagnetic environment. how to sort and analyze signal exactly is an important research of ecm. in this paper, we mainly research the signal sorting 、 system simulating and dsp realizing : 1. the paper introduces the environment of ecm and analyses the character of time domain 、 frequency domain 、 air space 、 power density and polarization detailedly

    本文主要就是研究復雜電磁環境下的彈上電子對抗系統信號分選關鍵演算法、系統軟體模擬以及dsp的實現，主要包括以下幾個方面: 1 .對電子對抗環境進行了介紹，並對雷達偵察機的信號環境的時域特徵、頻域特徵、空域特徵、功率密度（能量）特徵以及極化特徵進行了詳細的分析，得出了對雷達偵察接收機信號分選系統設計的主要依據。
  18. This thesis presents the time domain character and frequency domain character of common used signals, including digital modulation signals and analogue modulation signals. the first method is to extract feature parameters from time domain and frequency domain. it can distinguish 2ask, 4ask, 2fsk, 4fsk, bpsk, qpsk, 16qam, 64qam and it is demonstrated by simulation data and sampled data

    本文介紹了常用的通信信號（包括模擬調制樣式和數字調制樣式）的時域、頻域特徵，首先從時頻域提取信號的特徵參數，用於區分2ask 、 4ask 、 2fsk 、 4fsk 、 bpsk 、 qpsk 、 16qam 、 64qam這8種信號，用模擬信號和實際采樣信號驗證了該方法的可行性。
  19. This algorithm applied to real system produces a good result. third we investigate the method for feature extraction, and put forward two methods base on wavelet analysis : coefficients character obtained by wavelet multi - resolution analysis and energy spectrum analysis using wavelet pack technique, from which a feasible feature vector is created

    研究了基於小波的特徵提取方法，提出了兩種基於小波變換的特徵提取方法：基於小波變換系數特徵和基於小波包分解的能量特徵，從而得到了故障信號的時域和頻域特徵。
  20. This paper is described wavelet transform theory, mother wavelet choice, the method to filter signal by wavelet transform and the result, prospered a way to extract feature originated from wavelet theory, which using wavelet packet analyzing method to subdivide signal both in low frequency and high frequency field, and consider energy of every layer as feature in frequency field, and in conjunction with the detailed analyzing character of wavelet packet in time - frequency plane, consider several minimum or maximum points in the lowest frequency band a s features in the time field

    本文介紹了小波變換的理論、基小波的選擇和利用小波變換進行信號濾波的方法和濾波處理結果，並提出了一種基於小波理論的新的特徵值提取方法。即利用小波包分析方法將信號在低頻、高頻段作進一步的細分，以各層分解的能量作為信號的頻域特徵值，以最低頻帶的極值點作為時域特徵值，這樣的特徵值選取方法較全面的反映了信號的時-頻特徵，優于傳統的傅里葉分析方法。
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