碼元丟失法 的英文怎麼說
中文拼音 [mǎyuándiūshīfǎ]
碼元丟失法
英文
bit dropping technique-
The paper, in the way of math morphology, manages to classify the linear elements, the same type but different width in the scanning, and result in the two - valued linear image in the same level. in the fine division of the target image, a way of math morphology based on the double structure of cell stencil is put forward, which prevents the terminals and the acnodes from losing and also reduces effectively time in doing so. as the result of the framework of the fine division, vector method is formed in which its track is monitored by using dynamic change of pace about freeman ' s chain code
本文用數學形態學相關理論方法實現了對掃描圖像中具有同一線型但不同線寬的線狀要素進行分類，在同一層上得到同一線寬的二值線狀要素圖；在對此目標圖像進行細化時，提出了基於雙結構單元模板的數學形態學細化演算法，用該演算法對實際的線狀要素進行細化，避免了端點、孤立點等信息的丟失，且由於是并行處理，有效地提高細化速度；對于細化后的骨架線，提出了基於freeman鏈碼的動態改變步長保持精度跟蹤矢量化方法。If no measures are taken, the serious basic - line - shift as well as the loss of chip clock and the difficulty of the data recovery will be introduced in the optical receiver, which causes the communication to go along abnormally
如果不採取任何措施，會給光接收機帶來嚴重的基線漂移，同時會引起碼時鐘丟失和碼元恢復困難等一系列問題，導致通信無法正常進行。The other one is the synthetical local nonlinear pca neural network recognition model constructed by combining the nonlinear generalization of pca and sub - space pattern recognition technology. we use the two recognition systems in handwritten digitals and characters recognition and obtain some satisfactory results. compared with some traditional classifiers, our systems have better recognition performances
而基於非線性pca的神經網路識別模型對傳統的線性pca進行了推廣，並利用了子空間的模式識別方法，針對每個字元類使用神經網路建立多個模板，然後利用pca神經網路和聚類演算法構造自動編碼器組對模式類進行重構，避免了特徵提取的復雜性和信息的丟失，提高了系統的識別性能和運算效率。Those characters that cannot be mapped to the target code page are lost forever
）那些無法映射到目標代碼頁的字元將永遠丟失。If you are using an encoding system that is not supported in jlca, you might lose characters that cannot be converted
如果您使用的編碼系統在jlca中不受支持，則可能會丟失無法轉換的字元。分享友人