time-domain filtering 中文意思是什麼

time-domain filtering 解釋
時間域濾波法
  • time : n 1 時，時間，時日，歲月。2 時候，時刻；期間；時節，季節；〈常pl 〉時期，年代，時代； 〈the time ...
  • domain : n 1 領土，版圖；領地。2 管區，勢力圈；（特定動物等的）生長圈；（學問、活動等的）領域，范圍；【物...
  1. For slow targets whose doppler frequencies fall into clutter doppler band, the performance of frequency domain one - dimension filtering is seriously degraded. in an airborne radar, there is interdependence between the clutter doppler frequency and spatial position. space - time adaptive processing ( stap ) utilizes this interdependence to suppress clutter and get perfect main - lobe and side - lobe clutter suppression

    空時自適應處理利用機載雷達地雜波多普勒頻率與地雜波空間位置的耦合性，根據目標和雜波在空間-多普勒頻域二維空間分佈上的差別對雜波進行抑制。
  2. 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
  3. From theoretical analysis, we know the existing demodulation methods have limitations as following : one is that the subtraction of the two signals frequencies will display as the result of demodulation when we demodulate two time - domain adding signals without modulating information ( fault information ) ; the other one is that aliasing phenomenon will occur as a result of getting absolute value, detection or square in the process of generalized demodulation analysis, such phenomenon will result in some superfluous frequency composition on the frequency spectrum, which will puzzle the detec tion of mechanical vibration. if the sampling frequency is selected from a suitable range, the aliasing phenomenon will be avoided ; the last one is that aliasing frequencies will be produced in zoom demodulation analysis because this algorithm cannot employ digital low - pass filtering to avert the folding frequencies of higher harmonics in the process of zoom sub - sampling

    現有的解調分析方法存在以下三種局限性：將不包括調制信息（故障信息）的兩時域相加信號，也以其頻率之差作為解調信號而解出；廣義檢波濾波解調分析中，由於取絕對值、檢波或平方過程可能產生混頻效應，在解調譜中表現為無法分析的頻率成分，並由此推導出避免這種混頻現象的采樣頻率的選取范圍，從根本上避免此類誤診斷的產生；幾種細化解調分析新演算法中，因為無法在細化分析的選抽時進行數字低通濾波，有可能會出現調制頻率的高次諧波成分發生頻率混疊而反折到低頻部分的現象。
  4. Frequency - domain equalization. at the same time discusses some key problems in ofdm : high ratio of peak - to - average power of output signals, problem of synchronization, channel estimation, adaptive bit, power and subcarrier allocation. emphasize on channel estimation, and present a new algorithm which can filtering more interpolation errors and noise. for the sake of improve the performance of resist narrowband noise and make efficient use of the spectrum apply malvar wavelet division

    同時就ofdm系統中的一些關鍵問題如峰值平均功率比（ papr ）太高，同步問題，通道估計，通道、比特與功率必須動態分配進行了研究，著重研究了通道估計問題並提出一種改進的方法，能濾除更多的噪聲分量和插值誤差，提高系統的性能；為了提高抗窄帶噪聲的性能和提高通道利用率，用malvar小波變換實現了不等帶寬分配。
  5. Wavelet has good localizing quality at time domain and frequency domain simultaneously and the characteristic of multi - resolution ratio analysis, so it can fulfill all kinds of wave - filtering needs such as low - pass, high - pass, sink wave, random noise denoising. compare with readitional wave - filtering methods, wavelet has incomparable advantage. wavelet has become an effective means of signal analysis and is intituled as math microscope of signal analysis

    小波分析由於在時域頻域同時具有良好的局部化性質和多解析度分析的特點，因此不僅能滿足各種去噪要求如低通、高通、陷波、隨機噪音的去除等，而且與傳統的去噪方法相比較，有著無可比擬的優點，成為信號分析的一個強有力的工具，被譽為分析信號的數學顯微鏡。
  6. This thesis mainly describes a tesing and consoling kit based on ni " s special virtual instrument software development kit - labwindows / cvi, aming at traditional testing device " s limitation such as high cost of hardware, complexity of construct, singleness of function etc. the tesing and consoling kit can condition the signal intermixed with interfere noise and deal with the collected datum through common signal conditioning ( amplification, isolation multiplex filtering ) -, software calibration digital filtering etc to analyse signal in time and frequency domain

    本文針對傳統測量設備硬體成本高、構造復雜、重用性差、功能單一等方面的問題，著重探討了利用ni的labwindows cvi這一虛擬儀器開發軟體構建的測控平臺，通過通用信號調理（如放大、隔離、多路轉換、模擬濾波等） 、軟體校正、數字濾波等方法對混雜有干擾的信號進行調理及採集后的數據進行處理，然後進行時域或頻域的分析。
  7. 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。
  8. The signals are transformed into digital signals and sent to a computer. digital signal processing includes amplifying the sound signals, low - pass filtering, wavelet transform for de - noise and analyzing power spectra using matlab software. for different species of pests the acoustic characteristics are different in time domain and frequency domain

    害蟲聲信號採集系統由日本產teac ；四通道錄音機（數字記錄儀）記錄害蟲爬行聲信號，數字示波器將聲信號轉變為數字信號送計算機存儲，由matlab軟體對數據文件進行信號處理，包括信號的再現、放大、濾波、小波去噪、功率譜分析等工作。
  9. 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、端點檢測，及時域特徵向量和變換域特徵向量。
  10. Therefore, based on the ann correlation signal post - processing technique, we designed a kind of sdf performed in spatial domain, and a two - step recognition technique was introduced to perform real - time distortion - invariant recognition by combining frequency domain filtering of sdf with spatial domain filtering of sdf

    為此，本文在ann相關信號后處理技術的基礎上引入了二次識別技術，設計製作了一種空域執行的sdf濾波器，採用頻域sdf濾波與空域sdf濾波相結合的方法，對目標進行實時畸變不變識別。
  11. In analysis and transaction of signals, spectrum analyzer is a classical and important instrument which is mainly used to analyze the time domain wave, amplitude, spectrum domain wave, demodulating analysis, digital filtering, correlate analysis, transfer function and coherence function of signals

    頻譜分析儀是信號分析與處理中常用的儀器，它可對信號進行時域分析、幅值域分析、頻域分析、解調分析、數字濾波、相關分析和傳遞相干分析。
  12. Screening and filtering tests - test 23d : transmission line reflections in the time domain

    屏蔽和過濾試驗.試驗23d :傳輸線路時域反射
  13. Connectors for electronic equipment - tests and measurements - part 23 - 4 : screening and filtering tests ; test 23d : transmission line reflections in the time domain

    電子設備連接器.試驗和測量.第23 - 4部分:屏蔽和過濾試驗.試驗23d :傳輸線路的時域反射
  14. Connectors for electronic equipment - tests and measurements - part 23 - 4 : screening and filtering tests - test 23d : transmission line reflections in the time domain

    電子設備用連接器.試驗和測量.第23 - 4部分:屏蔽和過濾試驗.試驗23d :時域的傳輸線路反射
  15. Time, bandwidth and memory resources are occupied to result in the link block as well as the deluge of unhealthy messages. currently, there are some mature filtering methods which adopt software automated filtering and user setting rules. most of the software has a constraint that they need manual setting, which requires some professional domain knowledge

    目前已有一些比較成熟的過濾方法採用通過軟體自動過濾與用戶設定規則的方式，但這類軟體存在著明顯的不足:它需要人工設定過濾規則，這要求用戶或管理員有較強的專業知識，還要求用戶能隨著垃圾郵件情況的變化不斷調整這些規則。
  16. The principle and characteristics of ofdm system are introduced first. then several key technologies of channel estimation and equalization for ofdm are discussed in detail, including pilot signal based channel estimation methods, cyclic prefix based channel estimation method, frequency domain adaptive filtering method and time domain equalization method for long channel impulse. the corresponding comparison and simulations are also provided

    文中討論了利用導頻信號的通道估計方法，利用循環前綴進行通道估計的方法， ofdm信號均衡中自適應濾波技術，及通道沖擊響應長于循環前綴時利用時域均衡減少解調器輸入信號拖尾長度的方法，分析了這些方法的原理，並通過計算機模擬驗證了這些方法的性能。
  17. 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。
  18. 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。
  19. ( 4 ) the functions of transition digit signal from time - domain to spectrum - domain and of filtering are implemented by program, which not only reduce the cost, but also it is agility easy to maintenance and to update

    測試數據的時頻轉換，數字濾波均軟體化。用軟體程序完成硬體電路的功能，這不僅降低了硬體成本，而且使用靈活、易於維護、易於產品的更新換代。
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