方向性傳聲器 的英文怎麼說

中文拼音 [fāngxiàngxìngzhuànshēng]
方向性傳聲器 英文
directional microphone
  • : Ⅰ名詞1 (方形; 方體) square 2 [數學] (乘方) involution; power 3 (方向) direction 4 (方面) ...
  • : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
  • : 傳名詞1 (解釋經文的著作) commentaries on classics 2 (傳記) biography 3 (敘述歷史故事的作品)...
  • : 名詞1. (器具) implement; utensil; ware 2. (器官) organ 3. (度量; 才能) capacity; talent 4. (姓氏) a surname
  • 方向 : direction; orientation
  1. On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system, this paper sets up an adaptive noise cancellation controller based on artificial neural network, which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end, this paper proposes some advices of model and algorithms

    在對基於誤差反播學習演算法的多層前人工神經網路進行分析基礎上,結合統自適應噪抵消系統基本原理,建立了基於人工神經網路的自適應噪抵消,經基於matlab的simulink模擬實例證明,具有很強的噪濾除能力和魯棒。最後並提出了網路及演算法進一步改進的法。
  2. It utilizes two boltclamped langevin transducers with unanimous frequency characteristic which convert vertical vibration to flexural traveling wave. they are arranged on the place of a elastic pipe to generated traveling - wave. when the traveling - wave propagate, the particles on the elastic pipe traverse an elliptic trajectory, materiel is transported by friction or acoustic streaming

    利用兩套頻率特一致並以縱振動式工作的夾心式換能,通過合理的布局在導管中激勵出行波,使輸送管管壁質點產生橢圓運動,從而利用摩擦或在液體中產生流來實現固體及液體的送。
  3. 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變換來抑制背景圖案噪的影響,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量,對初始輸入量用隨機掩碼處理和遺演算法進行優化得到最終輸入量,通過三層bp神經網路分類進行分類,達到了人民幣識別的目的。
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