空間濾波過程 的英文怎麼說

中文拼音 [kōngjiānlǜbōguòchéng]
空間濾波過程 英文
space filtering operation
  • 空 : 空Ⅰ形容詞（不包含什麼; 裏面沒有東西或沒有內容; 不切實際的） empty; hollow; void Ⅱ名詞1 （天空） s...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 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...
  • 過 : 過Ⅰ動詞[口語] （超越） go beyond the limit; undue; excessiveⅡ名詞（姓氏） a surname
  • 程 : 名詞1 （規章; 法式） rule; regulation 2 （進度; 程序） order; procedure 3 （路途; 一段路） journe...
  • 空間 : space; enclosure; room; blank; interspace
  • 過程 : process; procedure; transversion; plication; course
  1. Afterwards, in order to decrease the contradiction between the more complex and mass remote sensing image data and relatively slow speed of information extraction, an improved sfim image fusion method is proposed. this modified algorithm is on the base of sfim fusion technique, combines ihs method and sfim method and then replaces the former mean filter by an adaptive weighted mean filter. compared with the results of several common fusion techniques through a set of simulation tests between multispectral images and panchromatic images, it is proved that the new method can get an excellent result for the aim of improving spatial resolution while preserving the spectral information of multispectral images

    論文的主要工作和成果包括：在像素層，論文研究了多傳感器數據融合理論及遙感圖像預處理的過程和步驟，歸納了多源遙感圖像像素層融合的常用演算法，並針對目前遙感數據呈海量化、復雜化這一發展趨勢同遙感信息提取的能力和效率滯后這一矛盾，在sfim演算法的基礎上，將ihs變換與sfim相結合，將原演算法中的均值濾波器改進為自適應加權均值濾波器，提出了一種改進的sfim演算法，通過對一組多光譜圖像和全色圖像的雙傳感器融合模擬對比試驗，證明了該演算法在保持原多光譜圖像光譜信息的同時，能夠有效提高融合圖像的空間分辨能力。
  2. The process that light wave gets through arrayed waveguides can be regarded as a process of extracting spatial sample and filtering spatial frequency. spacial sample is accomplished by period interval arrangement of awg and spatial frequency filtering is accomplished by the fundamental mode and phase delay of each arrayed waveguide which is just a spatial frequency filter

    而光場通過陣列波導的過程，可八碩士學住論文waiaster 』 stiesis以看作是空間抽樣以及空間濾波的過程：空間抽樣由陣列波導的周期間隔排列完成，空間濾波由每個陣列波導的基模形式以及位相延遲完成（陣列波導即為一空間濾波器） 。
  3. The circui t construct ion and the relevan t schemes of the realization of the circuit are also provided, simultaneously, the source of errors and the compensation methods are discussed. all of analysises, calculation results and simulations demonstrate that the methods presented in the paper are feasible, the algorithm is effective, the realization of circuit is simple, the procedures of the design are standard, the circuit is easy to be fabricated on a monolithic, and the system can be used for processing middle - high frequence signal and be applied in low - voltage, low - power and at high speed

    在此基礎上，本文首次提出了一種基於狀態空間對數域濾波器的一維連續小波變換實現方法、結構以及相關模塊電路實現的策略，並對該方法的誤差來源與補償措施進行了討論。論文中的理論分析與計算以及模擬結果表明，用對數域狀態空間濾波器實現一維連續小波變換的方法可行，演算法簡單、有效，電路實現簡單，設汁過程規整，易於單片集成，適合處理中、高頻信號並運用於低電壓、低功耗、高速的場合。
  4. By augmenting the state vector, linearizing the nonlinear augmented state space model and adopting the equivalent measurement equation, the problem of strong tracking extended kalman filtering of nonlinear systems with additive combined colored noise can be converted into the problem of strong tracking kalman filtering of linear systems with correlated process and measurement noise

    通過增廣狀態向量、線性化非線性的增廣狀態空間模型和採用等效量測方程，將加性復合有色噪聲干擾下非線性系統的強跟蹤濾波問題轉化為過程與量測噪聲相關情況下線性系統的強跟蹤卡爾曼濾波問題。
  5. Abstract : group technology is introduced in the developing proc ess of high - power laser system for the first time. as an example, on the basis of the spatial filter, it is demonstrated the needs and feasibility of group design in the developing process of high - power laser system, and the composing of comp uter aided group design ( gt - cad ) system is discussed and how to put it into pra ctice in the high - power laser system

    文摘:在高功率激光裝置研製中首次引入成組技術概念，並以空間濾波器為例論證了在高功率激光裝置的器件研製過程中實施成組設計的必要性和可行性.最後討論了計算機輔助成組設計系統（ gt - cad ）的組成和在高功率激光裝置中具體實施過程
  6. As other predictive filters, state space is recursively got from measure space with system model by using the particle filter

    這種濾波和其他預測性濾波一樣，可以通過模型方程由測量空間遞推得到狀態空間。
  7. The event - related potential ( erp ) of 29 channels were analyzed with dllm. the result were compared before and after special filter ( hjorth transformation ). the acquired dipole distribution reflects different cognitive process

    在真實腦波分析中，數據來自於29導事件相關電位記錄，通過本模型分析了5個特定時刻在空間濾波（ hjorth變換）前後的偶極子分佈，它們反映了不同心理過程涉及的腦區域。
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