時域濾波 的英文怎麼說

中文拼音 [shíyùlǜbō]
時域濾波 英文
time-domain filtering
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 域 : 名詞（在一定疆界內的地方; 疆域） land within certain boundaries; territory; region
  • 濾 : 動詞（除去液體雜質） filter; strain
  • 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...
  1. By using the processing method of sliding time window, the problem of the periodicity range ambiguity is solved. meanwhile, the problem of range ambiguity which is produced because the range of target is biger than the maximum range of radar is also solved by using this method. then, the pulse width parameter which is the most important in the parameters of fmicw is analyzed. the stricter restrict is given to ensure the range spectrum has only one beat frequency after signal processing. at last this thesis introduces the different signal processing methods of fmpcw and fmicw

    同時利用該方法解決了fmpcw信號的由於目標距離超過雷達的最大單值測距范圍而引起的距離模糊問題。然後對fmicw波形參數中最為重要的脈沖寬度進行了分析，給出了更為嚴格的約束條件，保證了信號處理后距離譜峰值的唯一性。最後，分別介紹了fmpcw和fmicw信號的不同處理方式，並對兩者不同的時域濾波性能進行了比較，並對二者的差異進行了分析。
  2. It can realizes historical data repeat, time field analysis, spectrum analysis, time delay field analysis, axis orbit analysis, digital filter, corelation analysis, holographic spectrum analysis, demodulation analysis, fft delicate analysis and so on

    能實現歷史數據回放分析、時域分析、頻域分析、時延域分析、軸心軌跡分析、數字濾波、相關分析、全息譜分析、解調分析及fft細化分析等功能。
  3. Moreover in speech enhancement, especially in reducing the pulse noise, morphological algorithm has its unique advantage. particularly morphological filter may maintain the preferable accurate of the speech signal in speech waveform, and which produces little impairment to the formant of speech. so the spectrum structure of the speech is retained well, and the quality of the speech will not be reduced

    特別是，在時域波形分析中，形態學濾波增強較小波去噪更好地保持語音信號的細節；在頻域分析中，形態學濾波對語音信號的基音頻率、頻譜斜率、共振峰等語音特徵的影響很小，因而能夠較好的保留語音信號的頻譜結構，使語音品質不致降低。
  4. The scanning of the film by the photometer in the spacial domain is equivalent to the operation of a filter on a signal flowing through it in the time domain.

    在空間域用光度計進行掃描，和時間域中濾波器對所通過的信號進行運算等效。
  5. After completing the mctf using db2 wavelet, it is well integrated with discrete wavelet transform ( dwt ) and embedded zero tree wavelet. it uses atom structure to organize the coded bit - stream to achieve the brilliant combination of three scalabilities : temporal, spatial and psnr scalabilities. and the software platform is based on vc + + 6. 0

    在基於db2小波的運動補償時域濾波方法實現之後，本文將之和離散小波變換（ dwt ） 、嵌入式零樹編碼進行有機結合，並採用基於基本原子粒的數據流組織結構將分層后的數據流有效地組織起來，實現了具有時間、空間、質量三方面的完整可伸縮性的編解碼系統，系統的軟體平臺基於vc + + 6 . 0實現。
  6. This paper begins with an overview of the fundamentals of adaptive antennas. the correspondence between a spatial filter and the fir filter is illustrated, and the spatial filter characteristic of adaptive antennas is investigated by dmi and ls - drmtcma algorithms. the discrete - time transmission model of synchronous cdma systems with antenna arrays is also developed

    本文首先對自適應天線的基本原理進行了簡要介紹，建立了陣列接收的同步cdma系統離散時間傳播模型，並論述了空域濾波和時域fir濾波器的類比性，用dmi和ls ? drmtcam演算法模擬了自適應天線空間濾波性能。
  7. A temporal - spatial filter is designed for noise removing of clinical eeg signals, the first filtering is temporal filtering using band - pass filter, and the second filtering is spatial filtering with ica - based spatial filter

    為了有效去除臨床腦電信號的噪聲和干擾，設計了一種時空濾波器，分兩個階段對腦電信號進行濾波預處理：第一個階段是時域濾波，用傳統的帶通濾波器實現；第二個階段是空域濾波，用基於獨立分量分析（ ica ）的空域濾波器實現。
  8. Frequency - domain gtls identification combined with time - frequency filtering for flight flutter modal parameter identification

    基於時頻域濾波及頻域廣義整體最小二乘辨識的飛機顫振模態參數辨識
  9. The regional spectral model component is a primitive equation model on a stereographic projection and uses sine - cosine series as horizontal basis functions. the regional component predicts deviations from the forecasting of the global morjel component

    區域部分的預報偏差來自全球模式部分的預報，在區域范圍內，半隱式時間格式、時間濾波、初始化和水平擴散的應用都與偏差有關。
  10. It combines the real echoes with the date simulated using the real airborne sar system parameters to analyze and validate the method. after the combined data are filtered, the improved greatest of cell - average constant - false - alarm - rate ( go - ca - cfar ) is used to judge whether moving target is detected or not. in the following, real moving target is detected and its velocity and position is gained through which it is focused well

    將接收的實際場景數據與實際系統參數下模擬的典型數據相結合，分析、驗證了頻域濾波法的性能，並對濾波后的數據採用改進的選大單元平均恆虛警率（ go - ca - cfar ）方法進行處理，判斷動目標是否存在；然後對實際的動目標進行檢測，準確的估計出目標速度及位置並對目標重新聚焦成像，接下來將聚焦的動目標圖像和常規sar圖像迭加，同時得到了回到真實位置的動目標聚焦圖像和實際場景sar圖像。
  11. The theory analysis and method principle are presented the characteristics of the two methods are studied by computer numerical simulation. the results show that both the methods are reasonable and feasible. focused on the features and requirements of flutter test data processing, the methods presented here are used to pickup the major information as a pre - processing technique the application scheme is brought out for flutter boundary prediction based on subcritica

    根據顫振試驗的原理和觀測信號特點，本文將所提出的兩種時頻域濾波演算法引入到了飛機結構亞臨界響應分析的顫振邊界預測（ fbp ）研究當中，給出了一種新的顫振邊界預測方案，即通過聯合時頻分析與時頻域濾波提取有效信號再進行模態參數提取與顫振邊界預測。
  12. In fact, scaling technology is an essential component in many image / video processing such as to magnify / minify still image, to achieve special effect like picture - in - picture, to compress or transform digital video with spatial scalability etc. in this thesis we mainly employ this technology in video transcoding, which is a powerful but computationally intensive tools to convert one kind of video format into another, meeting different demand such as lower bitrates or various display terminals. in sum, there are two kinds of scaling schemes : one is in spatial domain and the other in transform domain. the scheme in transform domain can provide very good performance, that is, efficient computation and desirable image quality, whereas it has some disadvantage which is impossible or hardly to o vercome, especially some scenarios require arbitrary ratio zoom in horizontal and vertical, and excellent visual effect

    兩種方法都各有其利弊：變換域的方法是利用現有常用的視頻壓縮方案都是基於dct這個特點，所以可以直接在變換域做處理，這樣可以節省大量的計算，但其缺點是由於dct是基於塊的變換，如8 8 ，所以很難找到一種方案可以進行任意比例的縮放，尤其是在縱橫縮放比例不一致的情形，但這對諸如hd縮放到sd和空域分級的壓縮方案來說尤為重要，基於空域濾波的方法卻沒有這樣的限制，同時可以保證縮放后的圖像的質量遠高於基於變換域的方法，為了達到高的縮放質量，就不可避免導致計算量過大。
  13. The time - domain filter can then be used to select the narrow central portion of the cross correlation function ( ccf ), capturing virtually all of the signal but rejecting most of the noise

    對相關函數進行時域濾波，挑選出互相關函數中窄信號自相關函數部分，去掉剩餘的大部分噪聲能量，得到加窗互相關函數（ ccf ） 。
  14. Taking the fourier transform of this windowed ccf produces the time - domain filtered cross spectral density ( tdfcsd ). the snr can be improved with using the character of noise which distribute uniformly in frequency domain

    再進行傅立葉變換產生時域濾波互相關譜密度（ tdfcsd ） ，利用噪聲在頻域中均勻分佈的特性使snr得到改善。
  15. This thesis makes a fairly in - depth study on the basic techniques about the current svc algorithms by reading a lot of relevant references, including the svc system schemes and the techniques of various scalabilities. based on these knowledge, motion compensated temporal filtering ( mctf ) which is an effective method to eliminate temporal redundancy is researched, and mctf based on db2 wavelet is presented by studying the method of mctf using haar wavelet. the simulation proves that the low - pass frame is better than the haar one, it means that the temporal scalability is improved

    在此基礎上，本文研究了在時間可伸縮性中採用的一種有效方法:運動補償時域濾波（ mctf ）技術，並借鑒haar小波進行運動補償時域的方法，研究並實現了基於db2小波的運動補償時域濾波方法，模擬結果表明該方法比基於haar小波的方法得到了更高質量的低通幀，這也意味著在時間可伸縮性的處理上有了進一步的改善。
  16. This thesis introduces a motion compensated 3d wavelet scalable video coding system. and three key techniques of the coding system have been thoroughly researched, namely mc temporal filtering, 3d wavelet transform structure and 3d wavelet subband coding. firstly, traditional wavelet transform theory and wavelet lifting scheme are illustrated

    本文在對運動補償三維小波可擴展視頻編碼框架進行分析的基礎上，對該框架涉及的三個關鍵技術，即運動補償時域濾波、三維小波變換結構以及三維小波子帶編碼進行了深入研究。
  17. Kalman filtering just can fetch up the default, which can give the optimum estimation of signal under the condition of the minimum mean - square. and this method works in the time domain, the processing speed is fast, which make it be used in the real time signal processing

    當信號含有噪聲時， kalman濾波可以在最小均方誤差條件下給出信號的最佳估計，而且是在時域中採用第推方式進行，因此速度快，便於實時處理。
  18. Turbulence response. the functions of the methods are investigated by computer simulation and further examined by using flutter testing data of low - speed wind - turne of some aeroelastical modes. the related software is developed on matlab and labview for windows

    結果表明，本文方法在精度、有效性和數值特性等方面優于現有的時頻域濾波方法，並具有較好的應用特性，可以滿足工程應用的實際需求。
  19. That is by inserting known symbols or pilots in time and frequency domain to estimate the channel frequency response. the proposed method employs iterative low - pass filtering in transform domain which can reduce additive white gaussian noise and inter - carrier interference effectively

    該估計演算法採用在變換域多次迭代濾波的方式，能夠顯著降低高斯噪聲和載波間干擾（ ici ）對估計性能的影響，同時快速fft演算法也使得變換域濾波變得比較簡便。
  20. It ' s a problem of great significance how to filtering a signal in joint time - frequency domain and reconstruct the time series from the time - frequency plane selected. in this thesis, the theory of joint time - frequency analysis and synthesis and time - frequency filtering is investigated. two kinds of new time - frequency domain filtering methods are proposed based on adaptive decomposition and linear subspace projection

    本文在系統學習現有的各種時頻分析及其綜合演算法的基礎上，詳細研究了時頻域濾波的核心思想和基本方法，吸取了自適應時頻分析和線性子空間投影wigner - ville變換的優點，提出了的兩種新的時頻域濾波方法，並通過理論分析和數字模擬完成了相應的數值特性與應用特性研究。
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