目分辨本領 的英文怎麼說

中文拼音 [mùfēnbānběnlǐng]
目分辨本領 英文
resolving power of the eye
  • 目 : Ⅰ名詞1 （眼睛） eye 2 （大項中再分的小項） item 3 [生物學] （把同一綱的生物按彼此相似的特徵分為幾...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 辨 : Ⅰ動詞（辨別; 分辨; 明察） distinguish; discriminate; differentiate; recognize Ⅱ名詞（姓氏） a surname
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 領 : Ⅰ名詞1 （頸; 脖子） neck 2 （領子; 領口） collar; neckband 3 （大綱; 要點） outline; main point; ...
  • 本領 : （本事，技能） ability;capability;capacity faculty;power;know how;skill;talent;掌握為人民服務的本...
  1. The honeycomb sandwich structure has been widely utilized in engineering field nowadays. however, due to the complex construction of this structure, it seems not quite easy to describe its dynamic characteristic clearly and completely via conventional methods. the purpose of this thesis is to analyze and identify the dynamic characteristic of honeycomb sandwich structure based on nonlinear methods to stochastic data in frequency domain

    現今鋁蜂窩夾層結構廣泛應用於工程領域，但由於鋁蜂窩夾層結構復雜，使得應用傳統的辨識方法難以對其動力學特性給出清楚和完整的描述，本文的目的就是應用隨機數據的頻域非線性分析與辨識方法對鋁蜂窩夾層結構的動力學特性進行辨識。
  2. After analyzed the limitation of dijkstra algorithm and genie algorithm, a pulse coupled neural networks ( pcnn ) algorithm is proposed. pcnn provides group similarity, synchronous exciting and auto - wave generation characters, and is widely researched and applied in image processing, target identification and optimization fields

    脈沖耦合神經網路提供了分組類似性、同步激發和自動波的形成與傳播等一系列基本的特性，並在圖像處理、目標的自動辨識和組合優化等領域中得到了廣泛的應用和研究。
  3. Actually, the initial use of emd algorithm is not in radar field, which is derived and utilized initially on the ocean or earthquake wave analysis. firstly, the emd algorithm adapted for the radar signal is examined in the dissertation. secondly, resolution improving in sar and multi - targets with non - uniform speed imaging in isar is studied by using emd algorithm the main work of the dissertation is as following : a ) by analyzed the emd decomposing results before and after matching filtering, the right position of emd decomposition in the imaging process is determined

    由於emd演算法一開始並不是在雷達領域發展的，文獻中已有的演算法主要是針對海波、地震波等，所以本文首先分析了適用於雷達信號的emd演算法，並從sar和isar回波信號的特點出發，以emd演算法分解后的雷達信號為基礎，針對目前sar成像中的高分辨問題、 isar中非勻速和多目標成像清晰度不高等問題，研究了emd演算法在sar與isar成像處理中的應用，並採用大量模擬試驗對研究成果進行了驗證。
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