matrix algorithms 中文意思是什麼
matrix algorithms
解釋
矩陣演算法- matrix : n （pl matrices 或matrixes）1 【解剖學】子宮；母體；發源地，策源地，搖籃；【生物學】襯質細胞；間...
- algorithms : 演算法式
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Cycle frequency - based blind beamforming shows the performance degradation due to cfe ( cyclic frequency error ). an improved algorithm is presented in literature 6, which adopting forgetting factor in estimation cyclic correlation matrix would largely depress the sensitivity of cab to cyclic frequency error. by using this method, the improved algorithms of the c - cab and ecab algorithms are presented in this dissertation
針對基於循環頻率的盲波束形成演算法對循環頻率誤差cfe （ cyclicfrequencyerror ）很敏感而導致演算法性能下降的情況，參照文獻[ 6 ]提出的遺忘因子cab演算法，提出了c - cab演算法以及基於特徵空間的盲波束形成演算法（ ecab ）的改進演算法。 -
A new algorithms and matrix simplification of a center - focus cubic system
焦點型全三次系統參數化簡與新矩陣法 -
A sufficient and necessary condition for determining singularity of a block circulant matrix over a quaternion division algebra over a field is given, and two algorithms for the inverse of a nonsingular block circulant matrix over the quaternion division algebra are presented
?給出了域上的塊循環矩陣可逆性的充要條件及其逆矩陣的演算法。 ?給出了四元素可除代數上的塊循環矩陣可逆性的充要條件及其逆矩陣的兩種演算法。 -
The results of numerical experiment are reported to show the effectiveness of the proposed algorithms. reduced hessian algorithm has became one of the very popular and most effecive methods for solving nonlinear equality constrained programming. recently, chaya gur - witz proposed the two - piece update of a projected hessian matrix
最近， chayagurwitz在nocedal和overton等人工作的基礎上，提出了兩塊校正的投影hesse矩陣方法，討論了其演算法的局部收斂速率，但未涉及整體收斂性。 -
Topics covered include : sorting ; search trees, heaps, and hashing ; divide - and - conquer ; dynamic programming ; amortized analysis ; graph algorithms ; shortest paths ; network flow ; computational geometry ; number - theoretic algorithms ; polynomial and matrix calculations ; caching ; and parallel computing
課程主題包含了：排序、搜尋樹、堆積及雜湊；各個擊破法、動態規劃、攤提分析、圖論演演算法、最短路徑、網路流量、計算幾何、數論演演算法；多項式及矩陣的運算；快取及平行計算。 -
For more on improving sparse matrix algorithms, read fast and effective algorithms for graph partitioning and sparse - matrix ordering
如果您想了解更多關于提高稀疏矩陣演算法的信息，請閱讀 -
Second, we compute the self - impedance through cavity modal theory and mutual impendance based on reaction theory respectively. then the generalized impedance matrix that reflects the effect of mutual coupling is formed. at last, the effect of mutual coupli ng on 2 - d doa estimation algorithms is investigated and two efficient methods of mutual coupling compensation are proposed
本文首先對兩種二維doa估計演算法? ssm法和二維酉esprit法的性能進行了比較，用空域平滑演算法解決了相干源的二維doa估計；其次運用腔模理論計算微帶天線的自阻抗，用反應原理計算微帶天線間的互阻抗，進而形成計入互耦影響的廣義阻抗矩陣；討論了互耦對二維doa估計的影響，提出了兩種互耦補償的方法。 -
The computer simulation results verify the validity of two adaptive algorithms applied to circular array. the algorithms are least square based on qr decompose ( qrd - ls ) and sampling matrix inversion based on qr decompose ( qrd - smi ). then we apply circular array with wideband signal
其次，驗證了基於qr分解的最小二乘演算法（ qrd - ls ）和基於qr分解的采樣矩陣求逆方法（ qrd - smi ）兩種自適應演算法在均勻圓陣中的有效性。 -
2. the updating algorithm of strapdown matrix is one of the crucial techniques of sins. there are several kinds of attitude updating algorithms of sins, such as direction cosine algorithm and quaternion algorithm
捷聯矩陣更新演算法是捷聯系統的關鍵技術之一，捷聯慣導系統姿態演算法有歐拉角法、方向餘弦法、四元數法和圓錐補償演算法等幾種方法。 -
Numerical algorithms for the weighting matrix q of discrete - time lq optimal control systems
最優控制逆問題解的數值演算法 -
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。 -
Most current algorithms only work well in special conditions, because of the abnormity of signals in the real world. now, the research in the ica arises much passion and the ica has brought about many applications. the primary results the writer has got are as the following : after a whiting process, it is a key to find an orthogonal matrix to throw away the high - order redundant information between components
由於現實生活中信號十分不規則，目前提出的演算法大多隻能針對某類信號分離，鑒于目前在ica方面極大的研究熱情和強大的背景支持，作者對ica離線演算法做了一定研究，主要內容和工作包括如下: ica問題經過白化處理后，尋找去除高階相關的正交矩陣成為問題關鍵，而正交矩陣具有特殊的空間結構，組成它的每個列向量可視作rn中單位超球表面上一點，當這些點彼此垂直時，整體就組成一個正交矩陣。 -
3 the concept of equivalence matrix, which expresses equivalence relation in rough set information system, is introduced ; the relations between equivalence matrix and equivalence classes are discussed. the algorithms for data cleaning and rules extraction in knowledge system based on matrix computation are proposed and their complexity of computation is analyzed
3 、在等價矩陣概念的基礎上，分析了粗糙集知識系統中等價劃分與等價摘要矩陣的關系，採用等價矩陣來表示粗糙集的等價關系，提出了一種對數據庫知識系統進行數據清洗以及從中提取決策規則的矩陣演算法，分析了該演算法的計算復雜性。 -
In chapter four, the importance of anti - jamming performance of communication system evaluation is explained firstly. next three fuzzy cluster algorithms such as fuzzy equivalent matrix ( fem ) and fuzzy - c means ( fcm ) methods are proposed for evaluation of anti - jamming communication system. on the bases of fuzzy cluster, the fuzzy pattern recognition application is introduced in communication system
第四章則採用模糊聚類的方法對通信系統的綜合抗干擾性能進行了評估，介紹了包括模糊等價矩陣、模糊c -均值聚類等三種模糊聚類方法的基本原理，在模糊聚類的基礎上，討論了模糊識別在通信中的應用，進一步建立了抗干擾的指標體系。 -
Algorithms for the minimal polynomial and the inverse of a given block symmetric circulant matrix over a group algebra of a finite group over a field are presented. and a method of determining singularity of this block symmetric circulant matrix is given
?給出了求域上有限群的群代數上的塊循環矩陣的極小多項式的演算法，西安電子科技大學博士學位論文:多項式代數及其應用奇異性判別法及其逆矩陣的求法 -
The core algorithms in the candidate set creating function module are code pretreatment algorithm and candidate set creating algorithm. candidate list creating function module is the most important module, its core algorithms include candidate list adjusting algorithm, candidate matrix creating algorithm, original word lattice creating algorithm, language element node creating algorithm, optimal candidate words searching algorithm and candidate list creating without code algorithm which
候選列表生成模塊是整個系統最主要的模塊，主要核心演算法包括候選字詞調整演算法、候選矩陣生成演算法、初步詞網格生成演算法、語言元素結點的生成演算法、尋找最佳語句候選演算法以及無編碼候選列生成演算法，無編碼候選列生成演算法利用對用戶已輸入的漢字進行切分標注，通過系統中的知識庫信息在沒有輸入編碼的情況下預測后續的輸入。 -
After analyzing plane measurement detailedly, we know that the precision of measurement is decided by the precision of the homography between the image and the scenic plane. in the following chapter, several algorithms used to solve homography matrix are discussed
在分析了平面測量的基礎上，我們知道測量的精度取決于圖象平面和世界平面之間單應的精度，因此接下來論文花了大量的篇幅來討論單應矩陣的各種演算法。 -
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。 -
Firstly the key technologies about initial alignment and attitude matrix algorithms are systematically discussed
首先對實現sins的初始對準及姿態矩陣計算等關鍵技術進行了系統研究。 -
Secondly, measuring arrangement in three - phase distribution systems, decomposing jacobian matrix algorithms and how to choose pseudo - measurement weight are discussed
其次，對三相系統的量測設置，分解雅可比三相狀態估計演算法和偽量測權值的選取進行了闡述。
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