時空濾波器 的英文怎麼說
中文拼音 [shíkōnglǜbōqì]
時空濾波器
英文
space time filter- 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...
- 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...
- 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...
- 器 : 名詞1. (器具) implement; utensil; ware 2. (器官) organ 3. (度量; 才能) capacity; talent 4. (姓氏) a surname
- 時空 : space time:[相對] space time continuum時空點 event; 時空度量 space time metric; 時空反演 space ti...
- 濾波器 : [電子學] electric filter; (electric) wave filter; filter
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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。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。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。According to the frndamental and the steps of this method, we cans use the linear regress filter method to make the simulation of the wind load and then we can educe the curve of the time - process wind velocity. after that step, we can get the chart of the dynamic wind load which we can deliver the crosswind into the particle wind load and put them on the corresponding cell nodes. then we can do the analysis of the dynamical wind load through the time - process analysis to get the max value of the displacement
根據線性回歸濾波器法的基本原理和步驟,藉助相關軟體進行風荷載的人工模擬並得出風速時程曲線,進而轉化為風動力譜,由此將橫風向風力表達成節點風荷載作用於相應的單元節點上,按時程分析法對該空間桁架體系進行風荷載的動力分析,求出結構在進行風動力荷載分析時,結構相應節點對應的最值位移值。2, the optimal designed digital matched spatial filter ( dmsf ) was used to perform real - time optical correlation, which not only has the merit of large storage and renewability as well as common digital filter, but also has the virtue of high correlation s / n which the holographic optical filer owns
2 、優化設計的數字空間匹配濾波器,既有數字濾波器的大存儲容量並可實時刷新的特點,又有全息光學濾波器高相關s n的優點。對于處于嚴重背景噪聲干擾下的多個畸變目標,也可獲得高相關s n 。Compared with the traditional methods of artifacts elimination, ica, a kind of spatial filter, does not be restricted by the case of spectrum overlapping, and have a good reservation of useful detail signals
此外, ica這種空間濾波器不受信號頻譜混迭的限制,消噪的同時能對有用信號的細節成分做到很好的保留,很大程度上彌補了時頻域方法的不足。In the image quantization and enhancement section, the non - linear gray mapping based on histogram specification and the enhancement digital filter in spatial domain is applied to the result digital subtraction images
對于獲得的數字剪影結果圖象採用了規定化直方圖的非線性灰度變換演算法,同時對于結果圖象的增強設計了空域數字濾波器。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。The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed
主要工作在以下幾個方面: 1 、針對頻率選擇性衰落通道:結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法,與傳統方法相比,該方法計算量更小,收斂速度更快,性能更優,且對系統階次的過確定表現穩健,具有實際均衡應用價值; 2 、針對時間選擇性衰落通道:提出一種基於迫零均衡的時間選擇性通道均衡方法,演算法結構簡單; 3 、針對時變色散通道:利用瞬態均值曲線提取通道時變信息,對之ar建模,利用卡爾曼濾波器跟蹤時變通道抽頭變化,可以快速跟蹤通道變化;基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法,提出了新的單輸入多輸出色散時變通道均衡與識別演算法,同樣具有對通道階次過確定保持穩健的優點;結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法;研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題,給出一種時變系統處理模型。Based on the concept of space vector, an open loop detecting method for the fundamental negative and positive sequence components as well as the harmonic components is developed, which combining the conventional detecting method based on filters and the concept of space vector. this method can overcome the defaults of the conventional detecting method, and can meet the requirement of the asymmetrical control of hvdc - vsc
基於空間矢量的概念,提出了一種開環的基波正序分量、基波負序分量及諧波分量的實時檢測方法,這種方法可以看作是空間矢量的概念與傳統的基於濾波器的諧波檢測方法的結合,它能夠克服原有的基於濾波器的檢測方法的不足,可用於hvdc - vsc的不對稱運行控制。In the latter part, we discuss some classical algorithms of conventional amti and stap and present a new method to combine space conventional beamformer with the maximum improve factor amti filter. then we present a concrete method of putting dpca into aerial phased array ' s amti, simulation result proves the validity
在自適應動目標指示部分,討論了常規amti處理和空時聯合自適應處理的各種演算法,提出一種將空域常規波束形成與最大改善因子amti濾波器相結合的處理方法並進行了模擬驗證。The introduction of the synchronization dimensional structure filter makes the laplace operator improve the segmentation quality with a high real time capability by the original arithmetic
同步空間濾波器的引入,可使原演算法在低顏色閾值條件下獲得高質量的圖像分割結果,且該濾波器的行掃描數據錄入方式可以保證高實時性。Compared with kalman filtering, the unknown definite disturbance with finite energy instead of white noise drives the state - space system in h filtering. compared with the time - variant filter and the first - order filter, h filter has preferable robustness
與kalman濾波相比, h _濾波採用未知的具有有限能量的確定性干擾代替白噪聲驅動狀態空間系統;與時變濾波器和一階濾波器相比, h _濾波器具有較強的魯棒性。Fast segmentation of video objects based on change detection and spatial - temporal filters
基於變化檢測與時空濾波器的視頻對象分割方法Based on the delay - coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low - dimensional chaotic time series
摘要基於混沌動力系統相空間的延遲坐標重構和雙線性表達式,設計了預測混沌時間序列的雙線性自適應預測濾波器。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。Computer simulation results show that the beamspace wsf algorithm retains the super performance of its element space counterpart when applied to the beam outputs of some practical acoustic - receiving array. 3. an improved form of classical time domain broadband beamforming is proposed by combining digital delay lines and fir filters
提出了對經典時域寬帶波束形成器的改進方法,採用數字延遲線和fir數字濾波器結合的方式實現時域波束形成,以消除波束畸變並實時實現結構特殊的空間頻率響應。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。In order to improve the quality of laplace operator image segmentation at a high real time capability this paper presented a synchronization dimensional structure filter for laplace operator
摘要為了在繼承拉普拉斯運算元高實時性的前提下提高圖像分割質量,設計了一個可與拉普拉斯運算元差分計算同步進行濾波工作的空間濾波器。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。分享友人