noise filtering 中文意思是什麼

noise filtering 解釋
噪聲過濾
  • noise : n 1 聲音,聲響。2 叫喊;嘈雜聲,噪音;喧鬧聲;吵鬧,騷動,騷擾。3 〈古語〉謠言,風聲。4 〈美國〉...
  1. The concept of irradiance signal - to - noise ratio ( snr ) on the target plane and the minimum of the irradiance that can be detected by the detector was taken as the beginning, combined with a thorough analysis of the spectrum radiating feature of the target and the sky background, the atmosphere conditions, spectral filtering and the influence that the various components in the system have on the target irradiance on the detector ' s target plane and the background irradiance snr, the equation of the flying bomb ' s effect range affected by the point of burst measuring system is made, and all related factors that have an impact on the effect range are analyzed as well

    從探測器靶面上輻照度信噪比的概念、探測器的可探測輻照度最小值出發,在詳細分析目標、天空背景的光譜輻射特性、大氣條件、光譜濾波技術以及系統各環節對探測器靶面上目標與背景輻照度信噪比的影響的基礎上,推導了炸點測量系統對爆炸的飛行彈體的作用距離方程,分析了影響作用距離的諸因素。
  2. Using the way combining the mathematic morphology top - hat and gauss matched filtering can effectively reduce the influence of the inherent fovea and the marginal noise brought forth by the retinal camera caliber in retinal image and increase the precision of retinal image segmentation and feature point extraction

    文中提出了採用灰度數學形態學中的top - hat變換和高斯匹配濾波相結合的方法,用來有效的降低視網膜熒光圖像中固有的小窩現象及眼底照相機的口徑所引起的視網膜圖像邊界像素噪聲,極大的提高了圖像分割及特徵提取的精度。
  3. Experimental results demonstrate that the algorithms are robust and imperceptive at the attack of noise stain, low - pass filtering and sampling again

    模擬實驗表明,本課題提出的各種演算法能有效地抵抗白噪聲污染、色噪聲污染、低通濾波和重采樣對水印的攻擊。
  4. Fast algorithms of both discrete and orthonormal wavelet and wavelet packet coefficient are diagrammatized to be introduced. daubechies wavelet is applied to help to discuss the application and test on signal filtering and noise reduction with the principle and threshold implementation ; the basic principle to pickup the fault characteristics is introduced mainly about the relations between the maximum module and signal saltation point and how to characterize the saltation point with lipschitz exponent

    展示了離散正交小波變換的mallat快速演算法和小波包系數分解的快速演算法;重點應用daubeches小波探討了小波變換在信號濾波去噪中的應用和實驗,闡述了其基本原理和通過閾值化處理實現濾波的具體方法;探討了用小波變換進行故障特徵提取的原理,說明了小波變換模極大值和信號突變點之間的關系以及怎樣用李氏指數來表徵突變點的性質。
  5. Speckle noise suppression and filtering methods for spaceborne sar images

    圖像的斑點噪聲抑制與濾波研究
  6. The nonlinear filtering for nbi estimate - subtract assumes that the prediction error is dominated by spread spectrum signal and the background noise power is far below spread spectrum chip power, this assumption promises the low error ratio of chip decision but may not be attainable to digitalized dsss receiver in military communication environment, and does not coincide with the principle of dsss communication that decreases bit error ratio ( ber ) depending on spread spectrum gain, not on chip power

    在干擾估計抵消濾波中,以往的非線性濾波要求干擾抵消濾波后擴頻信號功率遠大於殘余噪聲功率,進而假設碼片判決的誤碼片率基本為零,這一要求對軍用擴頻通信是不利的,而且也不符合擴頻通信利用擴頻增益降低誤碼率的原則。
  7. Present a modified particle filter ( pf ) algorithm based on the los / nlos binary state information of propagation environment using the numerical method of the probability density function ( pdf ) about the hybrid noise. the key idea is using numerical method to calculate the hybrid noise pdf, and integrating binary environment information to get filtering result

    2 .給出了應用粒子濾波器改進直達波與非直達波混合環境中移動終端跟蹤性能的新演算法,特色是利用數值方法計算混合噪聲密度函數,結合二元環境信息完成濾波估計。
  8. A temporal - spatial filter is designed for noise removing of clinical eeg signals, the first filtering is temporal filtering using band - pass filter, and the second filtering is spatial filtering with ica - based spatial filter

    為了有效去除臨床腦電信號的噪聲和干擾,設計了一種時空濾波器,分兩個階段對腦電信號進行濾波預處理:第一個階段是時域濾波,用傳統的帶通濾波器實現;第二個階段是空域濾波,用基於獨立分量分析( ica )的空域濾波器實現。
  9. A terrain adaptive interferogram filtering method is proposed based on the classical adaptive filtering algorithm. the new method can suppress noise and keep the useful information at dense fringe areas in the same time

    在研究經典濾波方法的基礎上,提出了一種地形適應的自適應干涉sas濾波方法,在抑制噪聲的同時,新方法保持了干涉條紋密集區的信息特徵,具有很好的濾波效果。
  10. The noise filtering of real estate options based on price index

    基於價格指數的房地產實物期權嘈聲濾波研究
  11. Noise filtering for interferometric phase image, is one of key problems in insar imaging

    摘要干涉相位圖的降噪濾波,是干涉合成孔徑雷達成像中必須的步驟之一。
  12. In addition, this paper analyzes the noise - filtering quality of phase locked loop, a / d transformation theory, and the combination and quality of the decimation filter

    並對鎖相環對噪聲的過濾性能、 a / d轉換原理和抽取濾波的組成及性能進行了深入地分析。
  13. Spatial noise filtering

    空間噪聲濾波
  14. The pre - processing of image includes the noise filtering, the enhancement of image contrast, image edge detection, and so on

    圖像預處理包括圖像噪聲的平滑、對比度的增強和邊緣檢測等。
  15. Auto adapted noise filtering

    自適應噪聲濾波
  16. It is followed by digital sampling, windowing, noise filtering, endpoint detection, time - domain vector and transform - domain vector

    內容涉及語音信號的數字化、加窗處理、預加重濾波、端點檢測,及時域特徵向量和變換域特徵向量。
  17. Firstly, in the thesis, the highway surface track - detecting system being researched by the cooperation of our group with the nanjing university of science and technology has been summed up. sequentially according with the characteristics of the image data captured by the ccd linear array at a high speed, various noise filtering methods are compared in detail, and the effective methods to filter the data in this system is concluded, the filtering program to process the image data is written by turbo c + + 3. 0

    第二部分為6 、 7 、 8章,從分析本實驗室和南理工合作研究的高速公路路面車轍檢測系統著手,結合該系統中用線陣ccd高速採集的激光光斑位置圖象數據的特點,通過對各種不同噪聲濾波方式下處理后圖象的比較,最終得出了在我們的路面車轍檢測系統中行之有效的濾波方法。
  18. Lastly, the desirable properties of wavelet for wavelet super - resolution algorithm are considered to choose suitable wavelet. and noise filtering issues based on wavelet have been taken into account during implementation

    最後文章討論了超分辨演算法對小波性質的要求,選擇更合適于超分辨演算法實際應用的小波,並且討論了在超分辨重建演算法過程中實現基於小波的閾值去噪方法。
  19. On noise - filtering method of the digital radiography

    數字射線圖像的濾噪方法
  20. A process for speaker - dependent and isolated - word speech recognition system is presented starting from preprocessing i. e. digital sampling, noise filtering, windowing and so on. it is followed by endpoint detection and pick - up parameters of speech signal. methods for speech recognition are discussed as well

    本文循著一個特定人孤立詞語音識別系統的處理過程,從信號前端處理(數字采樣、預加重濾波、加窗分幀)開始,分別介紹了語音信號的端點檢測、特徵參數提取以及孤立詞識別方法,並對每個步驟可用的幾種方法在實驗基礎上進行了分析對比。
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