消除背景噪聲 的英文怎麼說

中文拼音 [xiāochúbēijǐngzàoshēng]
消除背景噪聲 英文
antiground noise
  • 消 : 動詞1 （消失） disappear; vanish 2 （使消失; 消除） eliminate; dispel; remove 3 （度過; 消遣） pa...
  • 除 : Ⅰ動詞1 （去掉） get rid of; eliminate; remove 2 [數學] （用一個數把另一個數分成若干等份） divide:...
  • 背 : 背動詞1. （用脊背馱） carry on the back 2. （擔負） bear; shoulder
  • 景 : Ⅰ名詞1 （風景; 景物） view; scenery; scene 2 （情形; 情況） situation; condition 3 （戲劇、電影的...
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 消除 : eliminate; dispel; remove; clear up; wipe off
  • 背景 : （布景; 襯托主體事物的景物; 對人物、事件起作用的歷史條件或現實環境） background; backdrop; setting
  1. After scanning the object image and labeling the connected component, the background and foreground noise could be removed easily by threshold value area expunction

    該方法僅需對圖像作一次全掃描即可標記物體所有連通部分，統計標識號，根據閾值面積消除法即可快速去除圖像中所有前景和背景噪聲。
  2. Because period narrow band signals are the main part of background noises, this thesis uses hardware description language to design a multi - band finite impulse response filter ( fir ) and downloads the program into filed programmable gate array to eliminate the period narrow - band interferences in the background noises

    3 ）在現場環境中，背景干擾主要是周期性的窄帶，本文利用硬體描述語言（ vhdl ）設計了一個多帶fir有限沖擊響應濾波器。應用到可編程邏輯器件中，消除了背景噪聲中的周期性干擾，為信號的進一步處理提供盡可能幹凈的信號。
  3. Then we introduce the character of the atmosphere channel, which we emphasized on the atmosphere scatter, absorption and scintillation ' s effect on the laser beam. in chapter, we explain why we used cassegrain telescope to collect the optical signal at first, then the lightsource, detector, front amplifier used in optical communication has been compared to that of fiber communication, the noise including shot noise, thermal noise and background light noise has been explained here for analysis the snr and ber in the next section

    在第三章介紹無線光接入系統的光收發單元，採用多孔徑卡塞格倫式的收發天線對消除減小大氣湍流影響有較大作用，針對大氣通道的特點無線光系統收發單元在光源、光探測器、前置放大電路上存在許多有別于光纖通信的技術，同時還闡述了光接收機包括背景噪聲的噪聲機制和接收靈敏度、誤碼率等指標，最後給出了一個整個傳送鏈路的功率預算。
  4. In image preprocessing, image quality is improved by using mathematical morphology to remove background of the image, making gray - scale transformation to enhance contrast and smoothing processing to filter noise

    本文運用形態學運算消除背景、進行灰度變換增強對比度和進行平滑過濾噪聲來完成圖像的預處理。
  5. A statistical method is used to obtain the background model, which is updated real time in order to adapt to illumination changes and scene changes. after threshold operation, morphologic operation and connected region area measurement are introduced to solve background disturb problem. at last, shadows are detected using hsv color space information and gets exact moving regions

    該方法首先利用統計的方法得到背景模型，並實時地對背景模型進行更新，以適應外界光線變化和場景本身的變化，閾值操作后，用形態學和連通域檢測的方法進行后處理，消除噪聲和背景擾動帶來的影響，最後，在hsv顏色空間下檢測出陰影，得到準確的運動對象區域。
  6. Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter. image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target

    論文在紅外目標檢測方面，以對經過預處理的圖像進行分割為切入點，採用二維類間方差法和局域生長法來進行圖像的分割，消除了原始圖像中一些不可能為目標的孤立噪聲點和大面積的背景區域。
  7. Parameter - tuning stochastic resonance ( psr ) is a more realistic way to handle the phenomenon of sr in a broad sense. based on the theory of psr, some key problems of using sr in signal processing are studied, these issues include : the application of intrawell sr in multi - frequency analog signal processing, recovery of the waveform distortion caused by the bistable system and other post treatments, measure of system performance with multi - frequency analog digital input and measurement of system performance of binary digital input. the results are used in signal detecting under the background of the real sea noise

    隨著參數調節隨機共振（ psr ）概念的提出，隨機共振在信號處理中的應用有著很大拓展的空間，本文就主要研究幾個目前隨機共振在信號處理中應用時經常碰到的問題，其中包括阱內隨機共振現象對多頻模擬信號處理的應用、雙穩態系統輸出的波形畸變的消除及其他后處理、適用於多頻信號的輸出性能衡量指標、二進制數字信號輸入情況下的系統輸出的性能衡量，並將所得的結果應用到了一個自然界的噪聲? ?海洋噪聲背景下的信號檢測中，這些研究對于隨機共振理論的進一步發展及其在非線性信號處理中的應用具有重要的意義。
  8. Upon the background of detecting and tracking moving vehicles in an intelligent video - based road traffic surveillance system, in this thesis, we focus our research on some hard issues in detecting moving objects, such as updating background image, eliminate the disturbances of moving cast shadow and vehicle headlight, and propose a robust algorithm of detecting and tracking moving vehicles on road. we also apply our algorithm to an applicable road traffic monitoring system

    本文以智能化視頻道路交通監測系統中運動車輛的檢測與跟蹤為應用背景，對運動目標檢測中背景更新、陰影和車燈投影噪聲的消除等一些難點問題進行了深入的分析研究，提出了一個穩定的運動車輛檢測和跟蹤的演算法，並在此基礎上完成了實用的視頻道路交通監測系統的設計與開發。
  9. Strong background noises are eliminated effectively by multi - level amplifier and filter, and un - anamorphic eeg can be acquired and be displayed synchronously in computer

    該方案通過多級放大和濾波，有效地消除了腦電信號強大背景噪聲的干擾，從而實現微弱腦電信號的放大，採集到準確清晰的腦電波形。
  10. The application of wavelet transform in the spectrum signal processing is studied. the influence of the transform on the gauss spectrum peak is analyzed. a method is proposed to reduce the noise and background in the spectrum signal obtained by the micro spectrometer

    研究了採用小波變換來消除光譜信號中的噪聲和背景信號的方法，並深入研究了小波變換處理對真實光譜信號的影響，提出了採用小波變換消除光譜高頻噪聲和低頻背景信號的方法。
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