背景噪聲抑制 的英文怎麼說

中文拼音 [bēijǐngzàoshēngyìzhì]
背景噪聲抑制 英文
background noise suppression
  • 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
  • 抑 : Ⅰ動詞（向下按; 壓制） restrain; repress; curb Ⅱ連詞[書面語]1 （表示抉擇） or 2 （表示轉折） but3 ...
  • 制 : Ⅰ動詞1 （製造） make; manufacture 2 （擬訂; 規定） draw up; establish 3 （用強力約束; 限定; 管束...
  • 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
  • 抑制 : 1 （控制） restrain; control; check; hold up; curb; stop; repress; bridle; choke; prehension; sup...
  1. The digital information is easy to process by pc. this paper introduces the stereo matching techniques in msv system, including image pre - processing, feature abstraction, stereo matching and depth information acquiring. in order to obtain images easy to detect objects " edges, images have to processed by the techniques such as guass smoothing and image enhancement

    針對顯微圖像的特點，對圖像進行了高斯平滑和圖像增強處理，有效的抑制了隨機噪聲對圖像處理的影響，提高了物體與背景的對比度，有效的實現了物體與背景的分離，為邊緣檢測特徵提取，立體匹配提供良好的圖像信息。
  2. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  3. The experiment result shows that the approach restrains from the background noise and music residual noise and improved the speech - sound quality

    實驗結果表明，方法有效抑制了背景噪聲和音樂噪聲並提高了語音質量。
  4. Because the noises in ir images changes slowly and its frequency components con - centrate on the range of low frequency. the wgos is used to suppressing background and noises. just for the three origin images in this dissertation, the global threshold in the algorithm is enough to divide up targets from the background

    紅外圖像的噪聲通常為脈沖噪聲，具有高頻特性;而紅外圖像的背景變換比較緩慢，其頻譜成分多集中在低頻區域，所以本文在對圖像特性分析的基礎上，設計改進了基於加權廣義次序統計濾波器的背景抑制的演算法。
  5. The algorithm can effectively separated the small moving target from the rela - tively stationary backgrond according to the differences among the small moving target, back ground interference and noise by inhibiting the background and enhancing the target

    這種演算法根據運動小目標，背景干擾和噪聲在圖象序列中的差異，能夠抑制背景，增強小目標並將其從相對靜止的背景中有效地分離出來。
  6. Firstly, according to the characteristic that the doppler frequency shift signal can be approximated as a single sinusoid signal, the extended sinusoid signal retrieval ( pisarenko and esprit ) methods are presented and signal state and measurement formulations are developed, so the kalman filter recursive method is got. the brief introduction of low velocity moving target doppler frequency shift signal wigner - ville transformation and wavelet transformation expression are presented in this paper. secondly, because the clutter is gaussian distribution, cumement and high - order spectrum based methods are presented and the simulation results prove their good performance to suppress gaussian clutter in low velocity moving target doppler frequency shift signal processing

    一個方面是根據低速目標的多普勒信號可簡化為單一正弦波形式這一特點，得到了擴展的高斯色噪聲背景下的諧波恢復演算法，即高斯色噪聲中的pisarenko諧波恢復法和旋轉因子不變法（ esprit ） ；並推導了信號的狀態方程和觀測方程，進而得到基於卡爾曼濾波的遞推演算法對信號進行提取；本文還簡單的介紹了低速運動目標的多普勒頻移信號的wigner - ville變換與小波變換；另一個方面是針對雜波服從高斯分佈這一特點，提出了對接收信號求累積量和高階譜來對高斯雜波進行抑制。
  7. Multimodal background model with noise and shadow suppression for moving object detection

    基於噪聲與陰影抑制多模態背景模型的運動物體檢測
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