領域號聲 的英文怎麼說
中文拼音 [lǐngyùháoshēng]
領域號聲
英文
territorial call- 領 : Ⅰ名詞1 (頸; 脖子) neck 2 (領子; 領口) collar; neckband 3 (大綱; 要點) outline; main point; ...
- 域 : 名詞(在一定疆界內的地方; 疆域) land within certain boundaries; territory; region
- 號 : 號Ⅰ名1 (名稱) name 2 (別號; 字) assumed name; alternative name3 (商店) business house 4 (...
- 領域 : 1. (一個國家行使主權的區域) territory; domain; realm 2. (范圍) field; sphere; domain; realm
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With the research development in antenna area, smart antenna, which could dynamically adjust antenna pattern in order to trace useful signals and suppress interference and noise, comes into researchers ’ sight
隨著天線領域研究的進展,一種可以動態調整天線方向圖,有效跟蹤有用信號,抑制干擾和噪聲的天線系統? ?智能天線系統,進入了研究者的視野。Wt has been applied to denoising, data compression, and resolution of overlapping signals in analytical chemistry that includes flow injection analysis ( fia ), voltammetric analysis, high performance liquid chromatography ( hplc ), infrared ( ir ) spectroscopy, mass spectroscopy ( ms ), nuclear magnetic resonance ( nmr ) spectroscopy, ultraviolet - visible ( uv - vis ) spectroscopy, photoacoustic spectroscopy ( pas ), extended x - ray absorption fine structure ( exafs ) spectrum, etc
在分析化學領域中,小波變換在流動注射分析、伏安分析、高效液相色譜、紅外光譜、質譜、核磁共振譜、可見紫外光譜、光聲光譜、擴展x -射線吸收精細結構( exafs )譜等分析化學信號的平滑濾噪、數據壓縮、重疊信號解析等方面都有成功的應用。In the recent years, along with the development of the production technology of the vector hydrophone, more and more people notice the importance of the detect and measure technology of underwater acoustic vector signal, and it is applied in more and more fields
近年來,隨著矢量水聽器的製造技術的不斷進步,使得水下聲矢量信號的探測和測量技術日益受到人們的關注,應用領域也不斷擴大。At present, adaptive technique is widely applied in acoustic signal processing field
目前,自適應技術是水聲信號處理領域應用最廣泛的技術。The passive recognition technology of underwater targets is always a hot topic in the field of underwater signal processing
水下目標被動識別技術一直是水聲信號處理領域研究的熱點。Finally, some important conclusions were drawn, that is, using distributed pzt transducers, ultrasonic guided waves are generated and received in a pipe. usually, there are many different modes of guided wave propagating in the pipe and these modes are generally dispersive, the specific exciting signal of a harming windowed toneburst with a central frequency of 70khz for decreasing the effect of dispersion was selected. and guided wave are generated using 16 distributed pzt transducers in a circumferential direction for suppressing flexural modes
首先,對當前本課題研究領域的進展作出綜述,並簡要介紹與超聲導波技術相關的理論基礎;其次,建立了一套有效的實驗裝置,在此實驗裝置基礎上,重點研究了採用分散式pzt傳感器在管中激勵和接收特定模態超聲導波的方法:根據在管狀波導中傳播的超聲波具有頻散現象及多模態特徵,選擇具有單一頻率的特定信號激勵超聲導波,使其頻散最小;同時採用分散式傳感器抑制不同模態的波型。As result, a new method is presented by using the acoustic emission ( ae ) signal from stem of individual plant as its demand information. based on virtual instruments technique, which is becoming a popular tool in measurement and automation fields international, a computer - based detecting system is developed for the fast, real - time measurement. take tomato crops for testing example in greenhouse, the relation between ae and transpiration, environmental factors has been studied
因此,從植物本身出發,本文在國內首次採用了以植株莖部聲發射信號作為農作物需水信息的新方法,運用目前在測控領域國際流行的虛擬儀器技術,建立了對作物植株莖部聲發射信息進行實時、快速測量的微機檢測系統,並以溫室盆栽番茄為對象,研究了聲發射信息同植物蒸騰以及環境因子間的關系。It is widely used in both civil and military areas now. since sar and polarimetric sar is a coherent imaging system, its inherent speckle noise will produce important influence on the post - processing of sar images, such as target detection, classification and recognition, etc. so, speckle reduction becomes to the first step of sar images post - processing
由於sar和極化sar的相干成像特性,其固有的相干斑噪聲嚴重影響了后續目標檢測、分類和識別等應用,因此相干斑的抑製成為sar和極化sar圖像后處理的第一步,這種噪聲的抑制方法一直是極化sar信號處理領域一個很值得探討的問題。This thesis discusses on the post - processing of sonar signal which includes the search and location of the target, the pattern recognition and the neural networks classification, and also carries out a process of the sea test data with the post - process - programs to verify the validity of the pattern recognition with bp neural network, which helps to develop the sonar image processing and the image processing of other fields
本文在完成課題中的顯示控制任務同時,對聲納信號後置處理,包括目標的搜索定位以及模式識別和神經元網路識別等內容,進行了論述,並利用後置圖像處理程序對正樣機海試數據進行處理,驗證了bp神經元網路下模式識別方法在水聲圖像處理方面的有效性,有助於聲納圖像處理以及其他領域圖像處理的發展。It could be popularly used in signal processing, signal restoration, ultrasonic detection, image restoration, system identification. many people had made embedded researching in solution ' s number, quality, fast arithmetic, error ' s processing and made great progress in this field
卷積和卷積反演是數字信號處理中的重要問題,它在信號處理、信號恢復、超聲診斷、圖象復原、系統辯識等領域都有廣泛的應用。This method can also be used in other signal processing field to estimate white gaussian noise
該方法還可以用於其它信號處理領域高斯白噪聲的估計。Pitch detection is one of the most important tasks in low - rate speech coding field. the accuracy of pitch detection will affect the performance of the whole codec
基音檢測是低速率語音編碼領域的一個非常重要的問題,準確檢測語音信號的基音周期非常關鍵,它直接影響到整個聲碼器的性能。In the first chapter, the developmental actuality and its trends in the field of fault monitoring and diagnosis on mechanicals are expressed. principles and actuality inside and outside country of noises diagnosis on mechanicals are analyzed. some problems of this method are issued
論文的主要內容如下:第一章論述了機械故障監測與診斷領域的發展現狀及趨勢,分析了機械噪聲診斷技術的原理及其國內外研究現狀、存在的問題和發展趨勢;針對機械噪聲診斷技術存在的問題,在分析國內、外對信號盲處理的研究及應用現狀的基礎上,初步引入信號盲分離概念及模型。In addition, in state monitor and fault diagnosis area, signal analysis of vibration and noise has already been in a critical position
另外,在狀態監測和故障診斷領域中,振動與噪聲的信號分析也已處于不可替代的關鍵地位。Higher - order statistics can deal with either colored noise, non - gaussian, nonlinearities or nonminimum phase, whereas second - order statistics can not. so these methods based higher - order statistics are wide applicable in signal process and system identifications. this paper describes the basic theory and methods based higher - order statistics in applicability of system identification and signal process, introduces and analyses the theoretical and algorithmic results of identifying non - gaussian arma process during recent years
當基於2階統計量(如功率譜、相關函數)的經典辨識方法無法滿足有色噪聲、非高斯、非線性以及非最小相位系統的要求時,基於高階統計量方法越來越受到人們的重視,已經成為系統辨識和信號處理等領域的研究熱點之一。Chaotic signal with continuous wide band frequency spectrum is not periodic and is similar with noise signal. these properties make it suitable to secret communication
由於混飩信號的非周期,連續寬帶頻譜,似噪聲等特點,特別適用於保密通信領域。In the field of audio recognition, with many mature and creative technologies applying, especially the hidden markov models ( hmm ), the effect and efficient of the audio recognition system have been enhanced. but due to the mismatch between training and testing environment ( such as background, audio transition channel ), the recognition systems based on hmm tends to drastically degrade in performance
在音頻信號識別特別是語音識別領域內,隨著隱馬爾科夫模型( hmm )的應用,使得系統的識別性能有了改進,但是由於訓練和測試環境(背景噪聲、音頻傳輸通道等)的失配常常導致識別性能的嚴重下降。Chaos is a kind of complicated oscillation, which is produced by definite system and described by nonlinear equation. it lies between cycle oscillation and noise. because of the sensitive initial value and wide spectrum, chaotic application in the field of secure communication and spread spectrum communication has already attracted people ' s eyes
混沌是非線性方程描述的確定系統所產生的介於周期振蕩與噪聲之間的一種復雜振蕩,由於混沌信號的初值敏感性和廣譜性,它在保密通信和擴頻通信領域中的應用已經引起人們的廣泛關注。Stochastic resonance is a new and very important embranchment in the nonlinear academic domain. it is a very important new thought of combining sr theory and dsp technology together to form a faint signal detecting system, which is used in weak signal detection under strong background
隨機共振是目前非線性學術領域的一個新興的重要的分支,而把隨機共振理論和dsp技術結合起來形成強噪聲背景下的小信號檢測系統並應用到實際工程信號的檢測中去則是本文的一個創新點。The research results will lay the foundations for the design and manufacture of multi - dimensional acousto - electro - optic device
多維聲電光器件在光信號處理與多路光通信領域內有廣泛應用前景。分享友人