自動波特檢測 的英文怎麼說

中文拼音 [zìdòngbōtèjiǎncè]
自動波特檢測 英文
auto baud detect
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 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...
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 自動 : 1 （自己主動） voluntarily; of one s own accord 2 （不憑借人為的力量） automatic; spontaneous 3 ...
  • 檢測 : check; detection; test; gauging; detecting; sensing; [工業] checkout; measuring
  1. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  2. Median filtering is chosen to modify the fuzzy edge by using the smoothing arithmetic, sobel operator is used to detect edge because of its filtering characteristic. image is changed from gray - scale to two - valued according to the threshold which is automaticly selected by otsu

    選用中值濾波減小平滑演算法導致的邊緣模糊;利用有濾波特性的sobel運算元進行邊緣檢測;使用最大類間方差自動確定閾值，將灰度圖像轉化為二值圖像。
  3. Eeg signal is an important method in clinical disease diagnosed, neurophysiology, brain research, etc. automatic detection of epileptic waves in eeg signal and eeg signal prediction is of great significance for clinical application, long - term monitoring ( i. e. eeg holter ) and treatment and control of epilepsy

    腦電（ eeg ）信號中癲癇特徵波的自動檢測以及腦電信號的預測在臨床檢測、腦電監護、癲癇等腦疾病的控制與治療上均有很重要的意義。
  4. The algorithm, basing on convolution filtering technique and the fringes " gray values max - min distribution, can automatically and accurately carry out space frequency spectra shifting without spectra analysis and spectrogram in the technique of phase method of projected grating for 3 - d object shapes measurement. the new algorithm makes image processing much caster and the technique of object shapes measurement more automated. the phase error caused by filtering and the crossed - optical - axes geometry setup is also discussed

    本文採用投影光棚相位法和數字卷積濾波技術：根據柵線的條紋灰度值分佈具有極大極小分佈的特性，提出卷積濾波形貌光學自動檢測的圖像處理方法，有效地實現了頻譜自動移位，從而進一步提高了圖像處理的速度和形貌測量技術的自動化程度；同時對採用兩光學主軸相交，且非遠心投影系統所產生的誤差進行了分析，並提出了修正方法。
  5. Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed

    首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。
  6. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
  7. Our item choiced msp430f149, a sort of singlechip as controller, designed our hardware electrocircuit to get the pulse wave singnal, and used msp430f149 to continuously search and calculate the peak - peak value of the pulse wave, and compute oxygen saturaction. in our study, in order to hurdle the dirft of baseline caused by the physiological difference of human bodies. we designed one circuit which can automatically regulate of the baseline of signal

    本文以msp430f149晶元為控制器，設計硬體電路提取脈搏波信號，連續檢測脈搏波峰?峰值，計算氧飽合度。本課題採用了基線自動調節電路，以克服不同人體生理差異引起的基線漂移；設計了直流截取電路和可控積分放大電路，以滿足臨床連續監測的特殊需要，解決信號飽和問題。
  8. Because the characteristics of frequency domain is slightly affected by the coupling state and only related with the defects by revising of the system, the technology of ultrasonic wave spectrum analysis is necessary tool for quantity or automatic testing

    由於頻域特徵受耦合狀態等的影響較小，且經過系統修正後，能夠做到頻域特徵僅與缺陷有關，因此超聲波頻譜分析技術是超聲波定量檢測或自動檢測不可少的工具。
  9. In the process of building and using the mass concrete structures, because of the effect of out - side condition and themselves, some faults will form in the structure, these faults will effect the bearing capability and endurance using nondestructive testing method to test the concrete ' s quality and diagnose its healthy, which has the significant sense in assessing the safety stability and research of the administering diseases this dissertation mostly researched the testing methods in the mass concrete structure, discussed the principles, methods, features, sphere of application of the ultrasonic testing in the mass concrete structure with faults, used dynamic fem to simulate the testing process, discussed when the concrete structure with cracks is under the effect of the pulse, how the elastic waves propagate and what are their changing feature, researched the principles of the first - arriving waves " phase when the cracks " depths are not same, obtained the relation between the inversion point and the cracks " depth, which has the direction sense in the application of projects, the second part of this dissertation is ct, which used the ultrasonic wave running through the tested - substance to get arriving - time of the ultrasonic wave, then inverse the image this dissertation drawed one ct program which can well present the different little cells " ultrasonic wave velocity profiles of the substance, thereby to diagnose the quality of the part of the tested - substance, ct has the better using foreground.

    在混凝土結構的施工及使用過程中，由於受其自身及外界各種因素的影響，常常會產生一些缺陷，對結構物的承載能力和耐久性造成嚴重影響，採用無損檢測技術進行質量檢測和健康診斷，這對混凝土結構開展安全、穩定性評估以及病害隱患治理研究具有重要意義。本論文主要針對大體積混凝土結構缺陷的檢測方法展開研究工作，重點討論了超聲波法檢測混凝土結構裂縫的基本原理和方法及其特點、適用范圍，運用動力有限元數值模擬其檢測過程，探討了有裂縫缺陷的混凝土結構在脈沖荷載作用下彈性波的傳播及其變化特徵，研究了不同裂縫深度下首波相位變化規律，得出了反轉臨界點與裂縫深度之間的關系，這對實際工程應用具有指導意義。聲波ct是一種新的無損檢測技術，它是利用聲波穿透被檢測體獲取聲波接收時間，來進行計算機反演成像的技術。
  10. Combining wavelet features and morphology features of cancer cells in shape and structure, a cancer - cell auto - recognition method is put forward. the experiments on hybrid examples of lymphocyte, meothelial and adenocarcinoma shows that the recognition ratio using this method is nearly 100 %

    本文利用小波特徵與形態學特徵相結合，根據癌細胞形態和摘要結構的特點，給出了一種胸液脫落癌細胞的自動識別方法，對由淋巴細胞、間皮細胞和癌細胞組成的混合樣本的實驗檢測表明，該方法正確識別率接近100 % 。
  11. Therefore the dynamical characteristic is acted as detected parameter for fractured detection ( primary amplitude secondary frequence ). and the amplitude of mean sguare and central frequence are acted as evaluational parameter, based on the those studies, the new ideas is put forward that fractured azimuth is dected by lateral difference and fractured density is dected by vertical difference for three facters of fracture, wavelet acted as analysis tool and direction by wave field characteristic applied the multiple scale edge dectection and self - adaptive edge detection into the detection theory of seismic fractured azimuth, also put forward the wavelet different scale filter method of the fractured azimuth detection

    因而，確定了主要以振幅，其次是頻率的地震波動力學特徵作為裂縫檢測的被檢參數和均方振幅和中心頻率作為檢驗檢測結果正確與否的評價參數。在上述研究基礎上，針對裂縫的三要素，提出通過橫向求異檢測裂縫方位和縱向求異檢測裂縫密度的新思想。並以小波作為分析工具，以潛山波場特徵作指導，將數字圖像處理中的多尺度邊緣檢測和自適性邊緣檢測引用到地震裂縫方位檢測中來，並提出了小波變尺度濾波法新的裂縫方位檢測法。
  12. Apf can achieve dynamic compensation for harmonics and reactive current, and the compensation performance is not affected by the impedance of power grid, it has advantages as follows, fast response, high controllability and adaptability, etc. brief illuminations of advantages and disadvantages are performed to various harmful current detecting methods and control techniques

    它可實現對諧波和無功的動態補償，其補償特性不受系統阻抗的影響，具有響應快、可控性高、自適應性強等優點。本文對有源電力濾波器的各種諧波電流檢測法及控制方法進行了簡要的優缺點說明。
  13. Apf can achieve dynamic compensation for harmonics and reactive current, and the compensate performance is not affected by the impedance of the electric network, it has advantages as follows, fast response, high controllability and adaptability, etc. analysis is performed to existing main circuit topology, harmful current detecting method and current tracking control of apf in this paper

    有源電力濾波器可實現對諧波和無功的動態補償，其補償特性不受系統阻抗的影響，具有響應快、可控性高、自適應性強等優點。本文對現有的有源電力濾波器的各種主電路拓撲、畸變電流檢測和電流跟蹤控制方法進行了分析。
  14. Firstly, we determined the position of energy edge in every trace by using edge detection algorithm, secondly, we divided all the edge points into wrong points and correct points, then calculated the value of wrong points by spline interpolation

    為此，從初至波的特點出發，提出了單道數據邊界檢測和樣條插值相結合進行初至波自動拾取的方法。
  15. This paper first introduces the aspects of network performance research based on traffic measurement, modeling and analysis and its state - of - the - art, secondly summarizes then the concept, models and analysis tools of self - similar traffic, and analyzes scaling behavior of packet loss with self - similar traffic input by wavelets method, thirdly introduces hidden markov model and its applications on network performance research, and then explores the cross - traffic inferring technology and the disadvantages of existing methods. after that the paper develops a new method for cross - traffic inferring based on delay jitter measurement, proves its correctness by experiments, and applies it to self - similar traffic background and real traffic trace to investigate its availability,

    本文首先闡述了基於流量測量與分析的網路性能研究方向和研究現狀，而後介紹了自相似流量的基本概念和相關建模和分析技術，並採用小波分析的方法分析了單路復用網路模型在自相似流量下丟包的尺度特性，其次介紹了隱馬爾可夫模型以及其在網路性能研究中的應用，最後在此基礎上考察了網路流量推斷技術，分析了現有的方法的不足之處，提出了一種新的基於探測流延遲抖動測量的流量推斷測量技術，通過實驗證明了該方法的正確性，然後將其應用到自相似流量背景下考察了其對自相似性的推斷刻畫能力，並且通過實際流量檢驗了其有效性。
  16. According to the signal features of various automatic block systems, a signal singularity detection method based on the wavelet analysis technique is adopted in this paper to carry out singularity detection for the data recorded by the cab signaling recorder

    摘要根據鐵路目前各種自動閉塞制式的信號特點，利用基於小波分析技術的信號奇異性檢測方法，通過機車信號記錄器數據分析處理軟體對機車信號記錄器所記錄的波形信號進行奇異性檢測。
  17. In this paper, first an overview and analysis is given of existing typical algorithms for real - time audio - stream segment then a algorithm base on energy is proposed to audio - stream segment. the utilization of message - action finite state automaton is also required to control different complex playback pattern

    本文首先歸納和分析了當前語音檢測的典型演算法，通過綜合比較，然後提出了一個基於能量的應用於教學系統的實時音頻流分割的演算法，首先對語音進行濾波除噪的預處理，然後利用語音的能量特徵進行分割，最後利用有限自動機進行多模式控制。
  18. De - noising of ecg signal based on stationary wavelet transform

    基於小波變換的腦電特徵信號自動檢測方法
  19. Study several algorithms : localization underground target algorithm base on step threshold of block energy 、 localization underground target algorithm base on the best automatic curve fitter 、 recognition underground metal target algorithm base on phase of target echo. test above algorithms using signal acquired on field

    具體研究了:基於塊能量階梯閾值的目標檢測定位方法、基於自動最佳擬合曲線的波速測定和目標定位方法、基於目標回波峰值相位特徵的地下金屬目標識別方法。
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