數字波形識別 的英文怎麼說

中文拼音 [shǔzìbōxíngzhìbié]
數字波形識別 英文
digital waveform recognition
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 字 : Ⅰ名詞1 （文字） character; word 2 （字音） pronunciation 3 （字體） form of a written or printed ...
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 數字 : 1. （表示數目的文字; 表示數目的符號） figure; digit; numeral; character; numeric character 2. （數量） quantity; amount
  • 波形 : [物理學] wave form; shape; wave pattern; wave profile
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. We have successfully designed an experiment system for the no invasion blood pressure measurement with our own ip. in our research and develop task we have done a lot work to study foreign instrumen and design ideas. this experiment system is based on msp430 series mpu with excellent erformance and applies advanced digital signal process and intelligent technology. in hardware design, the following means were applied : after a lot of experment and fully knowing about the characteristic of the pulse wave signal, we have designed the accurate and credible circuit to collect the pulse wave signal ; power circuit, communicaion circuit, power drivers circuit have been disigned for the instrument. in software design, the following arithmetic were applied : 1

    軟體方面進行了以下演算法研究: 1 .綜合試驗各種數字信號處理方法對波形進行平滑處理: 2 .採用lms自適應方法對脈搏波信號進行了降噪處理; 3 .應用微分閉值法提高了脈搏波信號的檢出率，有效識別了運動干擾引起的偽波信號; 4 .利用測振法基本原理並進行大量實驗的基礎上，提出了比較準確可行的收縮壓和舒張壓的識別演算法，使測振法在本無創血壓儀中得到了完整而充分的應用。
  2. Divide the image into several regular blocks, do n ' t separate the blocks without consistent attribute and unite the blocks with the same attribute, until forming a district map. the ability that man can distinguish different goals from the complicated scenery quickly, at least partly benefit from many kinds of information in the image, such as the grey level, border, texture, etc. it illumine people to create methods on how to use mis information to segmentation. edge information is the most important high frequency information of an image

    本文以湖北省科技廳重點科技發展計劃項目資助課題? ? 「智能運輸系統的視頻信號採集及識別演算法研究」為背景，以課題中數字圖像處理部分主要環節之一? ?車牌圖像的分割問題為主要研究目標，在參閱大量文獻資料的基礎上，對數字圖像分割方法進行了學習和研究，並結合特定的數學理論，如數學形態學、小波分析等，對車牌圖像分割方法進行了著重地探討與實現。
  3. Measurement and characterization of surface texture is an important aspect of precision metrology. historically this has involved partitioning a profile into different wavelength regimes referred to as roughness, waviness and form followed by numerical quantization. parameters computed are then inspected for tolerance compliance to ensure a part performs its intended function. this approach is satisfactory when the specification has been carefully determined and the process is stable. however, when the manufacturing process is under development or when instability or modifications to the process invalidate specifications, there is a need to study surface finish parameters in relation to functional performance or process measures. in this context, the problem of surface texture classification and recognition are discussed. advanced techniques developed for this purpose along with applications are presented. also, the techniques discussed here will be useful across large bandwidth, from the characterization of nano scale to traditional micro scale surfaces

    表面結構的測量與特徵描述是精密計量技術的一個重要方面，傳統上包括將輪廓情況根據不同的波長范圍劃分為粗糙度、波紋度和形狀及后續的數字量化.按算得的參數檢查它是否為公差允許，以保證零件執行其指定的功能.當技術特性已經經過仔細確定，並且其過程穩定時，該方法是令人滿意的;但是，當製造過程正在進行中或過程的不穩定、過程變化使技術特性失效時，就需要研究和功能表現及過程評定相關的表面參數.討論了表面結構的分類與識別問題.同時闡述了為此目的而開發的先進技術及其應用.所研究的技術對從納米尺度到傳統的微米尺度的較大帶寬范圍內的表面特徵描述都是有效的
  4. With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature

    本文將支持向量機引入智能交通系統領域，主要進行的工作如下： （ 1 ）整理總結了國內外學術界關于統計學習理論方面的研究成果，介紹統計學習理論的基本概念和支持向量機的基本原理； （ 2 ）在形狀識別問題中以交通標志圖像作為實驗對象，利用hough變換進行特徵提取，在識別階段利用支持向量機方法進行分類，並與神經網路等傳統學習方法對比； （ 3 ）將支持向量機應用於車型識別問題中，針對收費站採集的汽車圖像，首先採用小波分析和數學形態學的方法提取其外形特徵，在識別階段利用支持向量機方法進行分類，並與其他傳統學習方法進行了對比； （ 4 ）將支持向量機應用於車牌識別問題中，車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟，先採用數學形態學方法對車牌區域進行定位，然後採用top - hat變換等方法分割車牌字元，在識別階段採用支持向量機演算法進行字元識別，取得了較為滿意的結果。
  5. 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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