redundancy character 中文意思是什麼
redundancy character
解釋
冗餘字元- redundancy : 裁員，多餘；冗餘
- character : n 1 性格，品格；特性，性狀，特徵；【生物學】形質。2 身分，地位，資格。3 名聲，聲望。4 （戲劇、小...
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So this part is dealt with separately. dcpm method is employed to improve the quality of image coding with making full of the relativity of the wavelet coefficients. according to the different importance degree and vision character of the high frequency wavelet coefficients, different thresholds are applied to remove small coefficients ; then mannos module are applied to remove the visual redundancy ; in order to produce more zero - tree, horizontal and vertical wavelet coefficients are transformed accordingly to improve the compression ratio
對于小波變換后的小波系數的高頻部分，根據其分佈特性和人眼的視覺特性，採用視覺模型對零樹量化過程的閾值進行修正，有效地去除視覺冗餘；對各高頻子圖採用多級樹集合分割的零樹編碼方法，有效地利用系數編碼剩餘符號，進一步提高壓縮比。 -
This paper does some research in the high - avail and real - time character of ethernet when it appling to fieldbus domain. in high - avail, made a concept of redundancy manager, and put forward some ethernet ring structures on the base of it. we can find these meet different levels of avail requirement
在高可靠性方面，提出了冗餘管理器的概念，在它的基礎上形成的幾種以太網環網結構，可以滿足不同層次的可靠性要求；在實時性方面，對傳統以太網加以改進，採用了交換技術、高速以太網技術、全雙工埠交換的方式、優先級標志技術、虛擬網技術等新技術。 -
At last, combining the fault - tolerant character and robustness in the biological evolution process of bio - systems with formal control methods, regarding niche as a rear parameter of fuzzy t - s system, this paper forms a fuzzy t - s system based on biological traits and proposes a fuzzy fault diagnosis method based on biological redundancy
最後，本文將生物系統生物進化發展的容錯性能和魯棒性與常規的控制方法相結合，將生態位作為模糊t - s模型的後件，建立了基於生物特性的模糊t - s模型，提出了基於生物冗餘特性的模糊故障診斷方法。 -
Firstly, thinning character images may bring not only the elimination of image information redundancy but also the predigestion of character recognize pick - up procession and the improvement of its veracity and speediness by a long way
本文主要工作如下:首先，針對當前漢字識別細化演算法中存在的交叉點分離及筆段變短等問題，提出了一種基於字元邊界的細化演算法。 -
Redundancy within character
字內多餘性 -
We raised a new model that we disassemble the character into several parts, which could be recognized by computer topologically based on the high - frequency wavelet coefficients vector, disregarding the traditional extraction method that used the statistical or structural feature based on the individual pixel in the 2 - dim plane of character. moreover, the concept of multi - dim cognizing feature model was put forward by encoding the character, according to its " location and run - length information. the information confusion and redundancy could be largely eliminated, as leaded to the improving of the preciseness when recognizing the character
克服以往結構、統計方法在字元特徵提取中無法剔除噪聲、偏移等冗餘信息的不足，以認知的新思路分析圖像，給出基於小波子圖的筆劃定義，給出一種注重反映字元部分最為重要的筆劃的類型、數量、遊程、位置特徵，改進了基於字元二維圖像的統計與結構特徵提取方法因變形，畸變造成信息混淆和冗餘；給出了提取多屬性字元認知特徵的方法和識別機制，實驗表明，該方法能有效的識別字元； 3
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