識別演算法 的英文怎麼說

中文拼音 [zhìbiéyǎnsuànfǎ]
識別演算法 英文
recognition algorithm
  • 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）
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. ( 2 ) study the character of audio signal. analyze the zero - crossing rate and mfcc. a mean mel coefficients is proposed, it can be used to recognized different audio signal

    通過對mfcc系數進行分析，均值mfcc系數作為音頻特徵，採用動態時間規整識別演算法，能夠對單一音頻進行識別，對已有數據源進行測試，有較高的識別率。
  2. Recognition of palm - dorsa vein patterns using multiple feature fusion

    多特徵融合的手背血管識別演算法
  3. A new algorithm is presented for recognizing planar objects from a line drawing under axonometric and perspective projections based on principle of homograph

    基於類似形的定義給出了在透視投影下平面多邊形為類似形的識別演算法。
  4. Road recognition algorithm based on inhomogeneous features and spline model

    基於非同質性特徵和樣條模型的道路識別演算法
  5. A detection algorithm for optical weak moving target

    一種可見光成像弱小運動目標識別演算法
  6. The three kinds of simulated point targets are designed and the rangeprofiles at aspect angle are computed. the radar target recognition method based on the optimal cluster centers is simulated and studied. it is discovered that the algorithm is effective when there are lots of training data, but noneffective when there are only a few training data

    2 、對最優聚類中心目標識別法進行模擬實驗並研究其識別性能，實驗結果表明該演算法在大樣本訓練數據時能得到較高識別率，是一種有效、可行的識別演算法，但在少樣本訓練數據時，所得識別率急劇下降。
  7. The material method of the thoughtway is that : the two regimentations use different recognition algorithms

    該思想的具體方法是對漢字和字元分別採用不同的識別演算法。
  8. By the study of several typic methods of determining convexo - concave features for vertices of polygon, the computation time complexity of these methods was analysed, and those methods were implemented in vc + +

    摘要主要針對幾種典型的多邊形頂點凸凹性識別演算法進行研究，對它們的計算時間復雜度進行分析，並用vc + + 6 . 0實現多邊形頂點凸凹性的高效識別。
  9. 2. investigating unclosed special structures ’ feature extraction and recognition

    2 .研究非封閉型奇異紋的特徵提取和識別演算法。
  10. With the progress of computer science, image processing and character recognition, it has been possible for us using computer to identify the information in id card image automatically

    隨著計算機技術、圖像處理和字元識別演算法的成熟，利用計算機進行身份證自動識別錄入已經成為可能。
  11. This thesis includes four parts in which the technologies of web usage mininig are systematically researched. in the first part we summarize the techniques of data mining and web usage mining, present the significance of the research on web usage mininig, the status of research and the problem which web usage mininig will face with. in the second part we discuss the web usage mininig according to the process of web mining. in the stage of data preparing and preprocessing we discuss the algorithm of data cleaning, user and session identification in detail, and present a data model of association rules and sequential patterns in the stage of pattern discovery, discuss the useful method of pattern analysis in last stage. a synthesis clustering algorithm cppc is proposed in the third part of this thesis

    本文分主要從以下四個方面對web使用挖掘進行了系統的分析和研究。第一是對數據挖掘和web挖掘進行了概述，闡述了web挖掘的意義、研究的現狀、面臨的問題。第二是討論了web使用挖掘的三個階段：在數據準備和預處理階段重點討論了數據清洗及用戶和會話識別演算法；在模式發現階段定義了關聯規則和序列模式的數據模型；模式分析階段則討論了現行的幾種分析方法。
  12. At first we improve the methods of iris image preprocessing, including an efficient arithmetic of evaluation iris images, an improving method of locating iris, calibrating iris image by the translation of coordinate and the circular shift of code, a eatimate of the background illumination by bicubic spline, and the image enhancement by the dual tree complex wavelet transform. next we designed the recognition arithmetic based on the location of the local maxima of the wavelet transform modulus. in the thesis lots of simulation are performed by means of matlab and visual c + +

    首先改進了虹膜預處理方法，實現了一種快速高效的虹膜質量評價演算法;設計了一種改進的兩步虹膜定位演算法，準確的定位了虹膜的內外邊界;利用坐標轉換和編碼的循環移位實現了對虹膜圖像的配準;利用雙三次樣條函數擬合虹膜圖像背景，去除了非均勻光照對虹膜識別的影響;使用二分樹復數小波方法增強了虹膜圖像的對比度;在識別演算法方面，本文設計了一種「基於小波模極值點位置的虹膜識別演算法」 。
  13. Under the condition that the carrier frequency is the only prior knowledge, various feature abstraction methods and amr algorithms are analyzed, integrated and compared for the awgn and non - awgn channels

    在載波頻率是唯一先驗知識的條件下，本論文分別對awgn通道和非awgn通道下的調制類型特徵提取和自動識別演算法進行了分析、綜合、對比。
  14. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  15. New algorithm for image target recognition based on fractal feature fusion

    一種新的基於分形特徵融合的圖像目標識別演算法
  16. In this paper, the contrast of original image is enhanced by nonlinear transformation based on the characteristics of grain image ; after comparing several methods of threshold segmentation and analyzing their performance and applicability on grain image, the adaptive threshold segmentation based on gradient image is presented ; the noise of binary image is reduced with morphological filter, the hollow in binary image is filled in and a recognition algorithm is designed to remove agglomerate particle ; on the basis of mathematical morphology two methods are adopted to segment agglomerate grains that are not agglomerated tightly ; the parameters of size and shape, perimeter, area, diameter, complexlity, longest feret diameter, shortest feret diameter etc, are extracted. this technique is applied in measurement of pearl powder ' s particle size

    本文根據粒度圖像的特點，採用非線性對比度增強處理改善顆粒顯微圖像的對比度；對多種閾值分割方法進行比較，分析了它們的性能和用於粒度圖像的適用性，在此基礎上提出了一種基於梯度圖像的動態閾值分割方法；對獲取的顆粒二值圖像進行形態濾波和空洞填充，設計了識別演算法去除凝聚體；對重疊不太嚴重的粘結顆粒採用了兩種基於數學形態學的分割演算法；提取了周長、面積、粒徑、復雜度、最長feret徑、最短feret徑等大小和形狀特徵參數，對珍珠粉等粉體粒度進行了測量。
  17. Experiments show that, when use msp430f149 audio sensor to identify vehicles that contain plane, tank, truck and so on by time domain features and two - level f - ratio, the recognition rate is 82. 1 % ; when use both msp430f149 audio sensor and arm9 sensor to identify vehicles, and the recognition rate is much better than the original system and msp430f149 audio sensor. line spectrum of power spectra and 3 / 2 spectrum is used as frequency features on arm9 sensor, and it is caught by narrow - band bandpass filter

    實驗證明，在主頻為8mhz的msp430f149感知器上，採用基於時域特徵和二階f比的識別演算法，能夠實時地完成對飛機、坦克、卡車等交通工具的識別;將msp430f149感知器與基於arm9的高端感知器配合使用，且高端感知器採用功率譜線譜或3 / 2維譜線譜作為頻域識別特徵，能夠實時的對各類交通工具做更高性能的識別。
  18. A fingerprint verification algorithm based on fingerprint classification

    一種基於指紋分類的指紋識別演算法
  19. ( 3 ) an efficient discovery method for useful data items is proposed. at first the definition of useful data items in distributed dsms is given, then the discovery method of single input data streams is extended to multiple environment and get the algorithm, which can solve the problem efficiently

    給出了分散式數據流系統中有效數據的概念，將單輸入數據流的數據識別技術推廣到多輸入數據流環境，給出了一種有效數據識別演算法，該演算法較好地解決了分散式數據流應用中的有效數據識別這一技術問題。
  20. Our algorithm can not only recognize objects with different shape, but also distinguish between different size and scale objects with same shape. our algorithm is implemented in computer simulations. comparing with other algorithms, a better recognized result is obtained by using of our algorithm

    它不僅能識別形狀不同的物體，還可以把形狀相同，但大小、比例不同的物體區分開，與已有的識別演算法相比，本方法有明顯的改進。
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