特徵測量 的英文怎麼說

中文拼音 [zhǐliáng]
特徵測量 英文
signature measurement
  • : Ⅰ形容詞(特殊; 超出一般) particular; special; exceptional; unusual Ⅱ副詞1 (特別) especially; v...
  • : 名詞[音樂] (古代五音之一 相當于簡譜的「5」) a note of the ancient chinese five tone scale corre...
  • : 動詞1. (測量) survey; fathom; measure 2. (測度; 推測) conjecture; infer
  • : 量動1. (度量) measure 2. (估量) estimate; size up
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 測量 : measure; survey; gauge; meter; measurement; measuring; surveying; mensuration; metering; gauging;...
  1. This paper makes a good study of the face recognition, including testifying the face from an image, partitioning main area of the face, abstracting the edge of the image, locating the characteristic points, recognizing the same face, etc. i have many new ideas in the study as follows : a method partitioning facial area from an image by 24 _ bit color is described

    本論文對人臉識別技術的演算法作了全面的研究,包括對圖像進行人臉的檢、區域分割、邊緣提取、去除噪聲和點的定位、的提取、識別等這幾個部分。提出了如下幾種實用和有效的演算法:在對當前多種人臉檢方法的研究后,提出了一種利用膚色對面部圖像進行分割的方法。
  2. This feature perfectly combine the frequency in acoustics level and the temperament in music semantic level, we use the cosine distance of this feature to represent the similarity of two music clips, then we design a group of algorithms that is inspired from the thought of edit distance and dynamic programming. they segment the feature vectors into groups at first, then through group similarity match, group recurrent detect, merge recurrent group and structure label joined algorithms to complete the music structure label task. because this is a really new field of research and no good method of evaluation had been finding, we propose a new evaluation method and the results of the experiments show that it is a good method

    然後設計了一組源於編輯距離和動態規劃思想的音樂結構分析演算法,首先將分組,然後經過組相似匹配、組重現檢、重現組歸並和自動標注四個前後銜接的環節實現了音樂結構的自動標注,較好地實現了將音頻形式的音樂自動標注為表示音樂結構的三元組列表形式,由於這是一個新的領域,目前還沒有比較好的化評價方法,本文提出一種新的評價方法,並用它來評價結構分析的結果,取得了較好的效果。
  3. Standard guide for measuring characteristics of sapphire substrates

    藍寶石襯底的特徵測量標準指南
  4. " energy - fault recognition ", a fault diagnosis method based on wavelet packets analysis for the transport pipeline supervising system is proposed in this dissertation. eigenvector target is presented which reflect the characteristic of leakage pressure signal

    本文將基於小波包分析的「能?故障識別」故障診斷方法引入管道運行狀態監技術,提出了反映泄漏壓力信號性的指標。
  5. In the phase of training, it gets the sampling data from the wave files which were stored in the voice library by using the mci functions. then calculates the character vector ( 12 ranks of lpc and lpcc ) and trains them by clustering method, so we get the templates used by speech - recognition, this templates were stored in the template library. in the state of recognition, after calculating the character vector of input voice, we compare it with the character vectors of templates, and then find the best one or refuse it

    系統的組成模塊與語音識別系統的基本構成模型基本一致,在訓練過程中,通過調用mci ( mcimultimediacontrolinterface )提供的函數從語音庫中的波形文件中讀取采樣數據,分幀計算出由12維線性預系數和12維線性預倒譜系數構成的,並按照聚類的方法進行訓練,得到后續語音識別時需要的模板,存放于模板庫中。
  6. The analysis of the relative importance of components of mfcc for both speech recognition and speaker recognition using dtw recognizer in various noise environments are given. for english digit and under the euclidean distance definition, the experiment results show cepstral components from

    採用增減的方法研究了mfcc各維倒譜分對說話人識別和語音識別的貢獻。使用dtw度,在標準英文數字語音庫上的實驗表明,最有用的語音信息包含在mfcc分
  7. According to the boiler ' s practical condition, two feasible methods to determine the diagnosing characteristic parameters are brought out, one is based on the system ' s energy - distribution principle and the other is based on the system ' s energy - balance relation, on the basis of the above research, in order to carry out on - line monitoring and diagnosing for air leak state in power station boiler, the artificial neural network is adopted as the intelligence diagnosis tool, the air leak diagnosis scheme based on the principles of system energy - distribution and system energy - balance relation is presented firstly and then the different diagnosis models of artificial neural network are built respectively

    作者根據電站鍋爐漏風的實際情況,提出了兩種確定系統漏風狀況診斷的可行方法,即基於系統能分配原則的提取漏風診斷的方法和基於系統能平衡關系的提取漏風診斷的方法。在此研究基礎上,本文採用人工神經網路作為智能診斷實現工具,提出了基於系統能分配原則和基於系統能平衡關系的漏風診斷方案,分別構建了不同的漏風診斷神經網路模型,以實現電站鍋爐漏風狀況的在線監與診斷。
  8. In this paper, the near - infrared spectral measurement and principal component analysis ( pca ) of simulated spilled petroleum samples are made, the princpal component scores are taken as the cluster characteristic variables for making fuzzy clustering, the near infrared spectrometry and pca together with fuzzy clustering method are then used for rapid recognition of simulated spilled oils, and the sample clustering and recognition patterns are established

    摘要對模擬溢油的石油類樣品進行近紅外光譜檢並進行了主成分分析,以主成分得分作為聚類的進行模糊聚類,採用近紅外光譜結合主成分分析和模糊聚類法快速識別模擬溢油種類,並建立了樣品聚類與識別模型。
  9. In this paper, a new way of real - time damage detection method was proposed according to the high speed working situation of the composite flywheels for energy storage, and a suit of equipment was developed to test the composite samples with piezoelectric disc built - in, the response waves before and after the damage occurred were recorded to the computer. on the base of traditional spectrum analysis of signal recorded, the wavelet analysis was introduced and the program in matlab language was made. with the wavelet packet decomposition of the signal, the relations between the change of response signals and damage characters were gotten, a database for damage recognition was created

    本文結合儲能復合材料飛輪高速旋轉的工作點,提出了一種在線檢飛輪轉子損傷的方法,自主設計一套實驗裝置對模擬各種損傷的的試樣進行了試,試樣損傷前後的響應信號被採集后存入計算機中;在對採集信號進行傳統的頻譜分析的基礎上,引入了先進的小波分析理論,利用matlab語言編寫程序,對信號進行小波分解,得到了信號變化和損傷之間的關系,建立了一個識別飛輪損傷的數據庫;小波包分解得到信號對比圖和,可以有效判定材料內部有無損傷和損傷的程度,結合頻譜分析等,可一定程度上判定損傷的類型,為儲能飛輪的安全運轉和智能化運作提供了決策依據。
  10. Computation the likelihood function requires using the correspondences between extracted and predicted features

    為了計算該似然函數,需要利用提取和預之間的對應關系。
  11. The model - based sar target classifier that uses feature accomplishes classification by computing the likelihood function between extracted and predicted features

    利用基於模型的sar目標分類方法,通過計算提取和預之間的似然函數達到目標分類的目的。
  12. It is followed by digital sampling, windowing, noise filtering, endpoint detection, time - domain vector and transform - domain vector

    內容涉及語音信號的數字化、加窗處理、預加重濾波、端點檢,及時域和變換域
  13. The paper creatively proposes the idea ofusing ordinary pressure signals ; ( pressure in valve boxes ) as system feature signal to pickup fault characteristic eigenvectors and verifies the correction of the method through self - correlation analysis in the time - zone and power spectral and wavelet packet analysis in the frequency - zone

    為此,本文創造性地提出以常見的壓力信號(閥箱內的壓力)作為系統信號來提取故障的方法。這種方法信號取簡單、處理方便,有著振動信號方法無法比擬的優點。
  14. But, because of the partial volume effect of the organism, directly processing of the gene microarray data will make that the characters extracted are not those of the biology genes, which will reduce the measurement sensitivity of the gene features

    但是,機體組織所具有的部分體積效應,使得對基因微陣列數據的直接處理將造成所提取不是真正的生物基因本身,嚴重降低基因特徵測量的靈敏度和指向性。
  15. There is an emphasis on measurement of load - deformation characteristics and failure modes of both natural and fabricated materials

    更強調荷重與變形間之特徵測量以及天然材料和人造材料間的材料破壞模式。
  16. According to this process, the key technology which including the characteristic measurement of surface, the pretreatment of data getting by line scan, the character expression and fitting of curve and surface, the characteristic identify of surface and translation from the model of surface to cad

    對實物反求過程中的各關鍵技術作了研究,包括:曲面的特徵測量、逐行掃描數據的預處理、曲線曲面的表示及其擬合、曲面的識別以及曲面模型向cad模型的轉化。
  17. The measurement of psychological characteristics of aggressive junior middle school students

    初中學生攻擊行為的心理特徵測量
  18. In cellular envirorunents, because of the influence of several adverse factors, such as muitipath, non - line - of sight propagation, noise, interference and channel frequency characteristics, radio statistics measuremenis like tdoa, toa and aoa related to mobile position, the performance of location algorithms mny be significantly degraded and the position estimation of ms is inevitably biased

    在蜂窩網路環境中,由於受多徑、非視距傳播、噪聲、干擾和通道頻率性等多種不利因素的綜合影響,使tdoa 、 toa 、 aoa等與移動臺位置有關的電波特徵測量值不可避免地出現較大誤差,從而使各種定位演算法的性能顯著下降,造成移動臺位置估計出現較大偏差。
  19. Method for measurement of performance characteristics of ultrasonic probes

    超聲探頭性能特徵測量方法
  20. In the characteristic measurement of surface, a method of surface " s self - adoption - character measurement is adopted in the paper to achieve the distribution of data " s density. the formula of coordinate transformation is educed and the calculate process in data fitting is proposed

    對曲面的特徵測量,採用曲面的自適應數字化方法解決采樣數據的密度分配問題,對有標準參考坐標下和在不同參考坐標下的多視拼合問題,導出了坐標變換的公式並提出了數據拼合的計算過程。
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