頻譜缺陷 的英文怎麼說

中文拼音 [bīnpǔquēxiàn]
頻譜缺陷 英文
spectral hole
  • 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...
  • 譜 : Ⅰ名詞[書面語]1 （按類別或系統編成的書或冊子等） table; chart; register 2 （指導練習的格式或圖形）...
  • 缺 : Ⅰ動詞1 （缺乏; 短少） be short of; lack 2 （殘缺） be missing; be incomplete 3 （該到而未到） be ...
  • 陷 : Ⅰ名詞1 （陷阱） pitfall; trap2 （缺點） defect; deficiency Ⅱ動詞1 （掉進） get stuck or bogged do...
  • 頻譜 : frequency spectrum; frequency content; spectrum; power density spectrum; power spectrum; [系統] s...
  • 缺陷 : defect; fault; faultiness; vitium; lesion; flaw; disorder; imperfection; drawback; blemish
  1. The variations of distortion coefficient of ultrasonic pulse frequency spectra at defective zone in concrete

    超聲頻譜畸變系數在混凝土缺陷區的變化
  2. In light of the limitation of fast fourier transform ( fft ) for the method of traditional spectrum analysis to analyze the unsteady signal, wavelet and wavelet analysis are made for the typical unsteady process signal of starting up and shut down with the good characteristic of simultaneous localization in both the time and the frequency domains based on the field test on the vibration of two - row placed units in lijiaxia hydropower station, in which the signal is decomposed into different frequency band, and then the weak signal is caught and the dominant frequency is picked up for the analysis of the vibration source

    摘要基於李家峽水電站雙排機組振動的現場試驗研究，並且針對傳統頻譜分析方法傅立葉變換（ fft ）對于非平穩信號已力不從心這一缺陷，利用小波分析方法在時域和頻域上同時具有良好的局部化性質，通過對開停機這一典型非平穩過程信號進行小波及小波包分析，將其分解到不同頻帶內，獲取微弱信息和提取優勢頻率，並對其作振源分析，得出開停機初始時刻因水流不穩均出現強烈的振動現象，且低頻段信號能量最大，開停機過程水流脈動壓力和尾水渦帶擺動是引起定子基礎振動的主要原因。
  3. 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。
  4. The ability of checking out flaw in the ultrasonic testing is so worse because of the noise signal. but at present, the ultrasonic signal processing methods are only frequency spectrum analyses based on fourier transform. so it is difficult to analysis the time characteristic and frequency characteristic at one time

    超聲檢測信號的干擾波使檢出缺陷的能力大打折扣，而目前採用的超聲信號的處理方法還多數只是基於傅立葉變換的頻譜分析，難以把信號的時域特性和頻域特性結合起來分析，處理效果很不理想。
  5. The test results show that different patterns of pd correspond to different demodulating signal waveforms, the pd phase angle in ac, and spectrum characteristics. therefore the pd patterns can be recognized by the uhf characters of different pd signals in gis

    試驗結果表明，不同缺陷類型的局部放電在其檢波信號波形、局部放電工頻相位分佈和超高頻頻譜特徵是有所不同的，可以依據這些特徵對gis內的局部放電類型進行識別。
  6. Firstly, in wireless environment, receiver has no know the time delay between transmitter and itself. in ofdm system, ofdm data is transmitted as one symbol, so in order for correct demodulation, the correct start of symbol should be got from ofdm system to reduce the effect of isi. secondly, the high frequency utilization in ofdm is based on the orthogonal properties of sub carriers. if frequency offset is generated, the orthogonal properties among sub carriers will lost, that will cause inter carrier interference ( ici ) and high ber of system

    Ofdm技術也存在著一些缺陷，首先，在無線環境中傳輸的ofdm信號對定時要求高，為了減少碼間串擾（ isi ）影響，必須從接收信號中提取出正確的符號起始位;其次， ofdm系統對頻率偏移敏感， ofdm技術的高頻譜利用率和傳輸可靠性均以子載波的正交性為基礎，如果接收機和發射機之間發生頻率偏移，子載波之間就會失去正交性，導致嚴重的子載波間干擾（ ici ） ，降低系統性能。
  7. Wavelet transform is a wonderful method, which have adjustable resolution in time and frequency fields leading to more subtly analysis for a signal segment. it works in a good pattern according with the rule of human ears distinguishing frequencies from voice. for stft having inevitable disadvantages in analysis of unstable signal such as speech signal, as a result of study on wavelet theory and speaker recognition techniques, two feature parameters, iwptc ( incomplete wavelet packet transform coefficients ) and wptc ( wavelet packet transform coefficients ), are got based on wavelet transform

    針對短時傅立葉分析在提取說話人特徵參數時的缺陷，本文通過對小波理論和說話人識別技術的研究，借鑒了一種傳統的基於聽覺機理的特徵參數mfcc （ mel頻域倒譜系數） ，利用小波變換、小波多分辨分析和小波包變換，構造出了兩種基於小波變換的說話人識別特徵參數： iwptc （不完全小波包變換系數）和wptc （小波包變換系數） 。
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