noise identification 中文意思是什麼

noise identification 解釋
噪聲識別
  • noise : n 1 聲音,聲響。2 叫喊;嘈雜聲,噪音;喧鬧聲;吵鬧,騷動,騷擾。3 〈古語〉謠言,風聲。4 〈美國〉...
  • identification : n. 1. 認出,識別,鑒定,驗明(罪人正身等)。2. 【心理學】自居作用。3. 身分證。4. 【數學】黏合,同化。
  1. Identification amp; precise estimation of signals in bimodal noise

    雙模噪聲中信號識別與精確估計
  2. The former put stress on the research of time optimal control method, fuzzy discursion and moving track, and the latter on the study of ekf recursion algorithms, noise model and noise characteristic identification

    前者的重點是最優時間控制方法、模糊控制器的推理以及運動相軌跡分析;後者側重於ekf的狀態估計方法、噪聲模型對濾波估計性能的影響以及噪聲模型的辯識方法。
  3. In this thesis, flow regime identification and malfunction diagnosis of fluidization were studied with fractal technology, the presented methods for both flow regime identification and malfunction diagnosis were proved of effectivity. main achievements are as following : 1. fractal brownian motion ( fbm ) was made from gauss noise and compared with pressure fluctuation signal of gas - solid fluidization, which demonstrated the similarity between the fbm and the signal

    在通過fbm (分數布朗運動)數據模擬證明了氣固流化床壓力波動信號與分數布朗運動是相似的基礎上,提出了用分數布朗運動來模擬氣固流化床壓力波動信號,並採用r s分析法從信號時間序列中提取出hurst指數,通過分析信號hurst指數值對流化床流型和結塊故障進行了研究。
  4. A study on the surface noise source identification of a diesel engine

    柴油機表面噪聲源識別技術研究
  5. It is very important for minutia extraction in afit ( automatic fingerprint identification technology ) based on minutia matching. the fingerprint image always has much noise and can not be adapted to extract minutia directly, so pre - processing of fingerprint image to get a point - line image is an important part of afit domain

    細節特徵點的準確提取在基於細節特徵點匹配的自動指紋識別技術中十分重要,然而由於各種噪聲的影響,使得所採集的指紋圖像質量比較差,並不適合直接用來提取細節特徵點,所以對指紋圖像進行預處理以獲得清晰的點線圖是自動指紋識別研究領域的一個重要組成部分。
  6. The development of one - wire technique, fieldbus technique and gprs wireless communication technique propose a perfect way of realizing intelligent distribution and measurement. moreover, dai and agent theory provide powerful theoretical support to improve the system ' s ability of intelligent identification, intelligent learning and anti - noise

    單總線技術、現場總線技術以及gprs無線通訊技術的發展為智能分佈和測控功能的實現提供了一套令人滿意的解決方案,而分散式人工智慧技術和agent理論為提高系統的智能判別、學習和抗干擾能力提供了有力的理論依據。
  7. Traditional static crosstalk identification methods identify crosstalk targets only using coupling capacitance and noise amplitude information, which lead to the pessimistic results and induce a long time to ic design convergence

    摘要傳統的靜態串擾噪聲識別演算法只驗證耦合電容和噪聲幅值信息,沒有考慮噪聲寬度對電路邏輯功能的影響,所以給出的結果過于保守,導致設計收斂的時間被延長。
  8. In this paper, many features of ship ' s radiated noise are extracted by the means of techniques in modern signal process, and the theory of information fusion is used for calculating basic belief assignment and identification and classification of targets

    本文應用現代信號處理技術的多種手段主要研究了艦船噪聲的多種特徵信息提取,應用信息融合理論重點研究了可信度分配、目標識別分類的信息融合實現等技術。
  9. As we know, correct identification of the psf parameters permits fast high resolution restoration of the blurred image. using the method, we can quickly restore the blurred image on line, and when the noise of the image is bigger, it can perform very well to identifity the blurred distance

    當確切知道模糊系統的點擴散函數時,就可以快速有效地恢復模糊圖像,使用本文方法,可以滿足適時性圖像處理的需要,並且不需要事先知道相機的系統參數,在圖像噪聲較大的情況下,也可以很好的確定出來模糊距離。
  10. Identification and control of noise source in premixed concrete plant of construction material factory

    建材廠混凝土攪拌站噪聲源識別與控制
  11. A algorithm is presented to identify dynamic crosstalk noise. in the course of dynamic crosstalk noise identification, hybrid timing analysis is used to provide accurate signal arrival time, which can provide more accurate timing information than static timing analysis. at the same time, a novel test generation is chosen to verify the correlation of signals. so dynamic crosstalk noise can be identified by these accurate timing and logic information

    提出了動態串擾噪聲的識別演算法.針對基於傳統靜態時序分析的結果過于保守的缺點,本演算法引入了混合時序分析,縮小了時間窗區間,為動態串擾噪聲的識別提供了準確的時序信息,與此同時,通過測試生成來驗證信號間的邏輯關系,根據這些準確的時序及邏輯信息,識別出動態串擾噪聲
  12. The algorithm of strapdown inertial navigation system is also discussed and then use the flight - track generator to give a simulation, since a closed loop feedback integrated navigation system is designed in this paper, and the output of the filter must feed back to the strapdown inertial navigation system, the analysis of the algorithm in strapdown inertial navigation system is important. the scheme to design the trajectory of gps and the simulation of gps constellation are then studied, the simulation of gps constellation is given from the calculation of vernal equinox base on the principle of celestial mechanics, this method of different from other methods given by other paper and is useful to the research of satellite navigation system. a new method to abstract noise modal in integrated navigation system is proved to be useful in practice, this method, which is given by use the principles of stochastic processes, statistics, time series analysis, and system identification, is suitable for the kalman filter in integrated navigation system

    如航跡產生器的設計,該航跡產生器是研究組合導航問題的前提,從國外一些研究組合導航系統的文獻中可以看出,設計這樣一個航跡產生器是非常必要的,所以本文自行設計了這樣一個系統;還討論了捷聯慣性導航系統中捷聯解算的方法,並進行了模擬研究,由於在本文設計的閉環反饋式組合導航系統中,對捷聯慣導系統的平臺誤差進行閉環控制,需要將濾波器輸出的校正量反饋到捷聯解算內部,所以必須對捷聯解算進行深入的研究和分析,更何況捷聯解算問題本身也是導航界的一個熱門研究課題;另外,本文還介紹了gps軌道及其星座模擬的設計思想和方案,與以往gps軌道和星座模擬不同的是本文從天體力學中計算春分點開始,逐步進行gps軌道及其星座模擬,這樣的設計方法對從事衛星導航的研究工作是有價值的;還對組合導航中誤差建模方法進行了研究,綜合運用隨機過程、概率統計、時序分析及系統辯識等方面的理論提出了一套適合組合導航卡爾曼濾波的誤差建模方法,並運用實際研究工作中的測量數據對該方法進行了驗證。
  13. Some linear approaches reported recently without postprocessing to fir system identification are discussed. this paper improves the question of the promulgation of error due to estimating middle parameter frequently in other related methods, and presents a direct algorithm of estimating parameter without estimating middle coefficient. through proper mathematic means, for example, singular value decomposition ( svd ) or total - least squares solution ( tls ), this algorithm smoothes the noise and improves effectively the estimation performance

    和2階統計量相比,高階統計量不僅能夠有效抑制高斯有色噪聲的影響,而且能夠揭示隨機過程的相位特性,因此,高階統計量是解決非高斯、非最小相位、非因果系統和有色高斯噪聲環境的系統辨識和處理問題的重要分析工具。
  14. Noise source identification of diesel engine by structure vibrating measuremen

    通過表面振動測量確定柴油機的噪聲源分佈
  15. Study on noise source identification based on combined wave superposition method

    混合波疊加法識別噪聲源的理論與試驗研究
  16. Frequency domain multiple input output modal parameters identification with consideration of stochastic noise

    計及隨機噪聲的頻域多輸入多輸出模態參數識別
  17. Identification of loader cab ' s noise sources based on partial coherence analysis method

    基於偏相干分析法的裝載機司機室噪聲源識別
  18. Based upon discussion on the way of noise propagation in internal combustion engine, a variety of methods for noise source identification and some of new technology occurred in this field in recent years are expounded with emphases in this paper

    摘要在論述了內燃機噪聲源的傳播途徑基礎上,著重剖析了用於內燃機噪聲源識別的各種方法和近年來在該領域出現的一些新技術。
  19. White noise acting as inspirit signal, the experiment data is collected. utilizing these data and error back propagating identification method, different neuron and input - output delay are selected. by comparing approximation ability and generalization ability, the neural networks model in position mode and velocity mode is identified

    並以模擬白噪聲為激勵信號,收集了數據;利用實際收集的數據,採用誤差反傳的辨識方法,選擇不同神經元及輸入輸出延時量的模型,通過比較網路的逼近能力和泛化能力,辨識得到了位置和速度兩種工作模式下的方位通道的神經網路模型。
  20. In the course of our static crosstalk noise identification, the noise width along with coupling capacitance and noise amplitude are used to identify static crosstalk noise targets, which overcomes the conservative defect of previous methods

    文章在傳統演算法的基礎上增加了噪聲寬度這一識別指標,克服了以往演算法結果過于保守的缺點。
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