解子空間 的英文怎麼說
中文拼音 [jiězikōngjiān]
解子空間
英文
solution subspace- 解 : 解動詞(解送) send under guard
- 子 : 子Ⅰ名詞1 (兒子) son 2 (人的通稱) person 3 (古代特指有學問的男人) ancient title of respect f...
- 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...
- 空間 : space; enclosure; room; blank; interspace
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One of the most important, most difficult, and most exasperating unsolved problems of operator theory is the problem of invariant subspaces.
運算元理論中最重要、最困難也最令人煩惱的未解決問題之一就是不變子空間問題。A novel and effective algorithm for robust and precise visual tracking of nonrigid objects
基於不確定分解子空間約束光流的柔性目標點跟蹤All of above presents the data to study the algorithm which will be used to detect the targets against the broadened bragg lines. eigenstucture - based algorithms are used to realize bearing resolution on the basis of synthetically comparing several classical algorithms. first sea echo ’ s bearing prior knowledge is utilized to constitute project operator to constraint the noise subspace estimation with the use of constrained music algorithms, which largely increases the resolution and doa estimated accuracy
為檢測海上目標的方位信息,在綜合分析比較各類演算法的基礎上,本文採用特徵結構類演算法來實現空間方位分辨中的constrainedmusic演算法,此方法充分利用了海浪的方位先驗信息來構造投影運算元約束噪聲子空間的估計,大大提高了目標解析度和估計精度。It is especially attractive for the downlinks and suppressing intercell mai. when multiuser detector is adapted in blind mode, it usually adopts eignvalue decomposition or singularvalue decomposition of received sample correlation matrix and tracking alrithgms, which result in high computational complexity. at the same time, approximation computation in tracking alrithgms also result in slow convergence
為實現盲自適應檢測,通常採用對接收信號樣本矩陣進行特徵值分解( evd )或奇異值分解( svd )后進行跟蹤,由此帶來的子空間秩跟蹤使得實現復雜度很高;另一方面,在跟蹤演算法中考慮一些實際情況而作出近似處理,從而引起誤差積累和正交性誤差,導致每次跟蹤開始階段跟蹤速度變慢。We researched the subspace eigenvalue decomposition and weighted subspace fitting techniques in the beamspace
在波束空間內,研究了相干信源子空間分解技術和加權子空間擬合技術。There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method, like the ml ( maximum likelihood ) algorithm, maximum entropy method and etc., the others are based on the spatial decomposition or projection of correlation matrix, this kind of algorithm include vector characterization method, music ( multiple signal classification ) algorithm, projection matrix method, etc. music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today, however, it cannot estimate doa of signals that are correlated
空間譜估計的演算法大致分兩大類:一是基於極大似然估計和最大后驗概率估計統計理論的演算法,包括:極大似然估計法( ml ) 、最大熵法等;另一類是基於對協方差矩陣進行子空間分解或投影的演算法,包括:矢量特徵法、多重信號分類法( music ) 、投影矩陣法等。其中, music法是一種經典的空間譜估計主流演算法,具有超強的分辨性能,但它無法實現對相干信號進行測向分辨。Some examples are given to validate the algorithm. two types of singularity are defined and then the whole workspace is cut into several singularity - free sub - workspaces
接著,根據五桿機構可能存在的幾種奇異位置,對連桿點總工作空間進行分區,還給出了子空間邊界的求解演算法。This article shows a new method to construct symmetric compacted orthogonal wavelet packet basis : the original compacted orthogonal wavelet basis and scaling function are decomposed into symmetric and anti - symmetric parts respectively , then we prove that three of four parts is also wavelet basis and another is scale function. we find it simple to process 1 - d signal. finally, by these results above, all the results above are applied to dsp
本文提出一種新的對稱化方法,把一大類緊支集實值的非對稱正交小波函數分解成對稱和反對稱兩部分,並證明了其相應的兩部分仍然構成對稱和反對稱的緊支正交小波基,而且我們發現尺度函數對稱和反對稱部分分別是某子空間的尺度函數和小波函數。The compact support wavelet which is real and orthogonal isdivided into two parts : symmetrical part and anti - symmetrical one. it proves that both the two parts are still made into compact orthogonal wavelet base which are symmetrical and anti - symmetrical respectively. it proves that symmetrical part and anti - symmetrical one of scale function are scale function and wavelet function in some subspace respectively
本文提出一種新的對稱化方法,把一大類緊支集實值的非對稱正交小波函數分解成對稱和反對稱兩部分,並證明了其相應的兩部分仍然構成對稱和反對稱的緊支正交小波基,而且我們發現尺度函數對稱和反對稱部分分別是某子空間的尺度函數和小波函數。First, the thesis introduces the definitions and the attributes of the higher - order statistics. it is insensitive to additive gaussian noise ( white or colored ), which is what we base on to doa problems. then two doa estimation algorithms based on higher - order statistics are presented, one is that forming cumulant matrix pencil used in esprit to estimate doa problems, the other is spectrum estimation method for doa estimation based on the eigenstructure analysis of the fourth - order cumulant, and comparing the effects of the estimation to conventional covariance - based doa algorithms "
論文首先對高階統計量的定義和性質作了介紹,特別指出了高階統計量對加性高斯噪聲(白色或有色)不敏感,這是我們利用它進行波達方向估計的理論依據,然後文中提出了兩種基於高階統計量的波達方向估計方法,一種是利用子空間旋轉不變技術構造四階累積量矩陣進行估計的方法,另一種是基於四階累積量陣特徵分解的空間譜估計測向方法,並將它們的估計效果與傳統協方差方法的效果進行比較。Then by a decomposition method, we proved that every state in the decentralized controllable subspace could be conducted to zero state by time - varying decentralized control, which meant that the decentralized controllable subspace had similar property with centralized controllable subspace
接著,我們用一種逐步分解逼近的方法證明了分散能控子空間中的每一個狀態都是分散能控的,這說明分散能控子空間和集中能控子空間有類似的性質。In the second, in allusion to non - stationary the characteristic of the signal, the author introduces to the method that using empirical mode decomposition to analysis the vibration signal so that the signal are made up of some intrinsic mode function, after this process, we can use stochastic subspace identification to identification the mode parameter of the structure and find the same work frequency
其次,針對氣閥振動信號的非平穩特點,本文採用了經驗模式分解法( empiricalmodedecomposition )對振動信號進行分析處理,使之成為若干個基本模式函數imf ( intrinsicmodefunction )和一個殘余量的線性組合。接著採用隨機子空間參數識別法對各個基本模式函數其進行結構參數識別,同時找出各種狀態的共同工作頻帶。Alternatively, we investigate the relationships between the space of bounded operators and its regular operator subspace with respect to the operator norm topology, thereby answering partially the question of how big the regular operator subspace is and discussing the existence of strongly non - regular operators between some classical banach lattices
這里把這一問題轉化為考察有界線性運算元空間與它的正則運算元子空間在(一致)運算元拓撲之下的關系,從而部分的回答了正則運算元集合在有界線性運算元空間中有多大的問題,解決了經典banach格上強非正則運算元的存在性。Stochastic subspace identification method is the major in this article, and this method is based on the theory of projection of row space, and also uses qr decomposition, svd decomposition as well as least squares estimate to state space matrices of the discrete system so as to achieve the parameters of the dynamic behavior and it can achieve an accurate result
隨機子空間法是本文的論述重點,它運用了行空間投影的理論,通過qr分解和svd分解以及最小二乘估計來識別離散后的系統狀態空間矩陣,從而得到系統的動力學特性參數,識別精度較高。本文詳細的推導了隨機子空間法的理論公式,並編寫出相應的matlab程序。This method constructs covariance matrix by utilizing data vectors in different range lines and projects phase error vector into noise sub - space which is formed by eigendecomposing the covariance matrix
該方法利用不同距離單元的觀測矢量構造協方差矩陣,然後通過對協方差矩陣特徵分解得到噪聲子空間,最後將相位誤差矢量向噪聲子空間投影來估計多普勒調頻率。Some properties of the optimal path of trust region methods are shown, and the relationship between dogleg path and optimal path is analysed. this can be used to derive better approximate algorithms for solving trust region subproblems
本文描述了信賴域方法最優曲線在二維子空間內投影的幾個性質,分析了幾種信賴域折線法與該投影的關系,為推導更好的求解信賴域子問題的折線近似提供理論依據Wavelet package is division of wavelet high - frequency space for increasing resolution. by this means, the shortage of low frequency resolution on die premise of high time resolution can be overcome
而小波包則是對小波子空間w _ j按照二進制分式進行頻率的細分,以達到提高高頻部解析度的目的The approach extends the parallel factor ( parafac ) analysis model from the common data - domain and subspace multiple invariance sensor array ( mi - sap ) formulations to the cumulant one, and forms three - way arrays by using the cumulant matrices got from array outputs, and analyzes the uniqueness of low - rank decomposition of the three - way arrays, then jointly estimates the ranges, frequencies and doas from the matrices via low - rank decomposition
該演算法將通常在數據和子空間域應用的平行因子分析模型擴展至高階累積量域,利用陣元輸出計算的高階累積量矩陣構造三面陣,分析了該三面陣低秩分解的唯一性,並從分解得到的多個矩陣中聯合估計信源距離、頻率及到達角。Poor thermal stability as a bottleneck has limited the development of liquid crystal photo - alignment technique. the intrinsic reason is that the photosensitive polymer has large space resistance and decreases the reaction degree of the directional photo - polymerization. the effective solution is focused in the increase of orientational order of photo - alignment film
光控取向技術瓶頸問題是穩定性差,其根本原因是光敏高分子空間位阻太大,定向交聯的反應度太低,有效解決方法應是降低位阻,提高定向交聯度和取向膜分子鏈段的有序度。In this paper, several new search directions are constructed by combining the local information progressively obtained during the iteration of the algorithm to form new subspaces, the quadratic model is then solved in the new subspaces
摘要本文中,通過利用隨演算法表現出來的問題的局部信息,我們構造了幾種新的搜索子空間,然後對二次插值模型在這些子空間中進行求解。分享友人