點陣矢量量化 的英文怎麼說
中文拼音 [diǎnzhènshǐliángliánghuà]
點陣矢量量化
英文
lvq lattice vector quantization- 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
- 陣 : Ⅰ名詞1 （作戰隊伍的行列或組合方式） battle array [formation]: 布陣 deploy the troops in battle fo...
- 矢 : Ⅰ名詞1. （箭） arrow 2. （尿） excrement; dung; feces 3. （姓氏） a surname Ⅱ動詞（發誓） vow; swear
- 量 : 量動1. （度量） measure 2. （估量） estimate; size up
- 量化 : quantization量化器 quantizer; digitizer; 量化失真 quantizing distortion; 量化條件 quantum conditi...
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Due to the moving base existence of the minehunting and the frame structure characteristic of the sonar array, a new modeling thought in which the boat body coordinates is regarded as moving coordinates and the whirligig equation of sonar array compared with the self coordinates is founded on the basis of the euler ' s theorem and the coordinate transform is introduced. the dynamic equations of minehunting sonar array with the state matrix form are founded by settling the dynamic models with the vector form. so it offers theory foundation for analyzing the dynamic characteristic and designing robust control
由於獵雷艇作為動基座的存在和聲納基陣的框架結構特點，提出了以艇體坐標系為運動坐標系，運用變形的歐拉定理和坐標變換建立聲納基陣相對自身坐標系的旋轉運動方程的建模思想；將所建立的矢量形式的動力學模型展開整理，獲得了狀態矩陣形式的獵雷聲納基陣動力學方程，為系統動力學模型的實用化奠定了基礎。The purpose of this paper is to transform black - white raster image into vector storage after preprocessing and vectorizing steps. an improved vectorization algorithm is presented after theoretically analyzing and comparing different vectorization methods
採用模式識別技術，將二值點陣圖像信息通過預處理、矢量化處理等環節轉換為矢量信息存儲是本文研究的主要目的。The new algorithm has three characters : first is that the new algorithm is on the basis of super frame which include 3 continuous simple frames in melp algorithm, the algorithm deal with parameters of a super frame by the mode of the super frame. secondly, two algorithms are introduced for improving vector quantization quality of line spectral frequency ( lsf ) parameter. one is swithed - adaptive inter - frame vector prediction ( sivp ), which can get rid of the correlation between neighboring frames effectively, the other is joint codebook optimization for multi stage vector quantization ( jco - msvq ), which can improve performance of codebook
第二是在製作線譜對參數（ lsf ）矢量量化碼本時，引入了目前提高lsf碼本性能的兩個方法:在利用重點幀對非重點幀作預測時，借鑒自適應幀間矢量量化（ sivp ）去除相關性演算法的優點，提出了以固定矩陣去除相關性的方法，有效的控制了預測后殘差的動態范圍，提高了對殘差矢量量化的精度;採用聯合碼本優化多級矢量量化演算法（ jco - msvq ） ，改良多級矢量量化碼本的性能。
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