temporal filter 中文意思是什麼

temporal filter 解釋
時間濾波器
  • temporal : adj 1 暫時的,一時的,轉瞬間的(opp eternal)。2 此世的,現世的;世俗的(opp spiritual)。3 時的...
  • filter : n 1 濾器,濾紙,過濾用料[砂、炭等]。2 【無線電】濾波器;【物理學】濾光鏡,濾色器。vt 過濾,用過濾...
  1. 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。
  2. The temporal effects, when appropriately modeled, can be taken into account by means of the kalman filter theory

    此一時間上的相關性經過適當的模式化后,可藉由卡曼濾波器的理論將其納入。
  3. Furthermore, utilizing the characteristic that filtering error covariance expresses filtering precision and the principle of information conservation, the dynamic and reasonable distribution of distributed tracks weight coefficient is accomplished. jerk model and strong tracking filter is organically assembled, and based on spatio - temporal synthetically analysis and lme, a self - learning estimation method of the system measurement variance is given. the method improves obviously the

    3 、將jerk模型與強跟蹤濾波演算法有機地結合,並利用時空綜合分析和極大似然估計的思想推導出了一種系統量測方差自學習修正方法,以優化強跟蹤濾波演算法中次優漸消因子和濾波增益的在線選擇,同時根據多傳感器數據融合具有改善濾波精度的性質,進而給出一種基於jerk模型的多傳感器數據融合演算法。
  4. The goal of the filter is to improve the sensitivity of an optical receiver by optimally filtering a communication signal. in this paper we calculated the temporal response of the matched filter, the commonly used f - p filter, as well as the matched weak ofbg filter. we find that the reflected pulse of weak ofbg closely resembles the triangular shape characteristic of a perfectly matched filter

    論文計算了通信系統中矩形光脈沖信號經強、弱ofbg 、匹配光濾波器、 f - p濾波器的輸出光脈沖波形,經分析比較后發現:弱ofbg和理想匹配光濾波器的輸出信號波形極其相似,不存在碼間干擾,而f - p濾波器的輸出波形存在比較嚴重的碼間干擾。
  5. The business of aggregate requires that aggregator could aggregate many business objects concurrently and different business object ' s properties and temporal variables could be data sources. the aggregate process may be a simple statistical calculate process with filter conditions or a complex calculate process. it requires that the aggregator could control the process of aggregate which implements it step by step and the following steps are relative with the results of previous steps

    匯集的業務需求為:針對動態確定的kpi指標實際值,能夠以各種業務對象的屬性、中間變量數據為數據源進行匯集,並且是能對多個業務對象同時進行:匯集變換可能是具有篩選條件的簡單統計計算或復雜計算;匯集變換要求能夠對匯集過程進行控制,即匯集是分步實現的,並且后續步驟的進行與已完成步驟的結果相關。
  6. By comparing the image - preprocessing results of different processing algorithms, an optimized algorithm was decided to ensure satisfying correlation snr and preprocessing rate to be obtained. synthetic discriminant function ( sdf ) filters of the 3 - d targets were designed and the reference filter libs ( rfl ) were constructed to provide high correlation snr. real - time distortion - invariant optical correlation was realized by temporal - spatial multiplexing technique

    為了保證opr系統有高的相關信噪比( snr )及良好的實時性能,本文對不同圖像預處理演算法的處理性能及效果進行了比較分析,為opr系統選取恰當的圖像預處理演算法提供了依據;將時間多重化技術與空間多重化技術相結合,設計製作了三維目標的可實時刷新的sdf參考濾波器庫,為opr系統提供了高snr的相關輸出,從而實現了opr系統對目標的實時畸變不變光學相關;將人工神經網路( ann技術)用於相關信號后處理,有效提高了opr系統的識別效率。
  7. And according to the characteristics of the noise, we provided some algorithms : wiener filter based on noise characteristic, multi - threshold wavelet filter, temporal - spatial - frequency domain combined filter based on the motion estimation

    並根據噪聲的特點,提出了基於噪聲特徵的wiener濾波方法、多閾值小波濾波器、基於運動估計的時空頻域相結合的濾波方法。
  8. In terms of diagnostic analysis chiefly, including of lanczos filter, single value decomposition ( svd ), ceof, composite and correlation analysis etc., and numerical modeling, the temporal and spatial characteristics of the intraseasonal oscillation ( mjo ) of the air - sea system and the causes are investigated in this paper

    本文對海氣系統季內振蕩的時空特徵及其成因作了氣候學研究。主要採用診斷方法( lanczos濾波、奇異值分解、復自然正交函數分析、合成分析及相關分析等) ,並結合數值模擬。
  9. When the observation noise is temporal correlation, kalman filter will not be able to achieve optimization, and its covariance matrix will be wrong

    在觀測噪聲不滿足時間不相關的假設情況下,卡爾曼濾波將達不到最優濾波效果,並且其誤差協方差陣也是錯誤的。
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