噪聲抑制網路 的英文怎麼說

中文拼音 [zàoshēngyìzhìwǎnglù]
噪聲抑制網路 英文
noise suppression network
  • 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...
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 抑制 : 1 （控制） restrain; control; check; hold up; curb; stop; repress; bridle; choke; prehension; sup...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. Two nonlinear simulation methods are designed by curve fitting method and anfis which seem simply and right in the simulation experiment. based on the model different control strategies also were realized in detail such as chopped current control ( ccc ), angular position control ( apc ), amplitude - change ccc and pi control. a simple torque sharing function ( tsf ) method and a tsf controller were designed which decreases torque ripple effectively

    文章中還建立一種基於模糊神經網路的非線性模型，並對比分析了三種方法，模擬中確定了電機的最優開通關斷角，在此基礎上實現了電流斬波控制、角度位置控制、變幅值電流斬波控制以及分段雙閉環pi控制，模擬結果表明，它實現了電機的正常運行，很好的抑止了電機轉矩脈動，同時有效地降低了噪聲。
  2. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  3. Moreover, computer - aided design for power - line filter and discussion on implementation of intelligent equipment of noise measurement and suppression are also introduced, results show that the discrimination network based on splitter / combiner has better hf performance with low insertion loss and good rejection capability, however, it is more expensive

    結果表明，基於分相器混和器的噪聲分離網路具有更好的高頻特性，且網路插損和噪聲模態抑制特性能夠滿足工程精度要求，但網路製造成本較高。
  4. Meanwhile, to further solve the load balancing problem of manets, aolr introduced several mechanisms, such as the admission control mechanism, backward congestion restrain mechanism, shortcut enforcement mechanism, and the noise - encouraged route - selection mechanism, in order to dynamically perceive the load of nodes and increase the adaptability to it

    同時，為了進一步的解決自組網中的負載均衡問題，在aolr中引入了準入控制規則、擁塞反向抑制規則、捷徑增強規則以及噪聲選路規則，通過對節點負載狀態的動態感知增加節點對負載的動態適應能力。
  5. 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。
  6. By studying the discrete fourier transform properties of the band - limited digital signal, the authors introduce alternating projection neural networks into the paper, expand apnn ' s application scope from real field to complex field, and present several important conclusions on apnn. analyzing and discussing network ' s tolerance to noise, convergence rate and the spectral leakage problem of the truncated signal expected to be extrapolated by using these conclusions, the paper presents an extrapolation algorithm for band - limited signals based on alternating projection neural networks. a lot of simulation experiments show that the algorithm is effective. in addition, the algorithm is also effective to spectrum extrapolation. owing to adopting network structure, the algorithm is prone to parallel computation and vlsi design, and consequently can satisfy real time military processing needs

    本文通過對頻帶受限數字信號的離散傅立葉變換特性的研究，引進了交替投影神經網路，並將其應用范圍從實數域拓廣到復數域，且給出了在復數域仍然成立的若干結論.運用這些結論，在對網路噪聲抑制、網路收斂速度及待外推信號因截斷而造成頻譜嚴重外泄問題的分析與討論的基礎上，提出了一種基於交替投影神經網路的外推演算法.模擬實驗表明該方法是行之有效的.另外，該演算法對頻譜外推同樣適用；由於它採用全互連神經網路結構，易於并行計算和vlsi實現，從而可滿足軍事上實時處理的需要
  7. This paper gives us too ways ： one is to adopt a better modulation mechanism, s - cdma, to bate noise jamming. the other way is to implement automatic frequency agility under strong noise, based on the ranging and burst configuration mechanism of current docsis protocol, meanwhile, guaranteeing cmts ' s normal operating. this paper comprehensively analyzes the anti - jamming mechanism of docsis, then presents the specific implementation of the latter method

    如何降低噪聲對網路的危害，本論文指出了兩個方向，其中一個就是在調制體制上下工夫，採用s - cdma體制，通過改變調制方式來主動的抑制噪聲的影響；另一個方向就是基於現在協議提供的抗噪聲干擾的機制，充分挖掘測距機制和靈活的突發配置機制的抗干擾潛力，以不影響頭端設備的正常運行為前提，以它們為基礎實現能自動避開強噪聲干擾的頻率轉移。
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