• Title/Summary/Keyword: Information matrix

Search Result 3,491, Processing Time 0.033 seconds

Polynomial matrix decomposition in the digital domain and its application to MIMO LBR realizations (디지탈 영역에서의 다항식 행렬의 분해와 MIMO LBR 구현에의 응용)

  • 맹승주;임일택;이병기
    • Journal of the Korean Institute of Telematics and Electronics S
    • /
    • v.34S no.1
    • /
    • pp.115-123
    • /
    • 1997
  • In this paper we present a polynomial matrix decomposition algorithm that determines a polynomial matix M(z) which satisfies the relation V(z)=M(z) for a given polynomial matrix V(z) which is paraconjugate hermitian matrix with normal rank r and is positive semidenfinite on the unit circle of z-plane. All the decomposition procedures in this proposed method are performed in the digitral domain. We also discuss how to apply the polynomial matirx decomposition in realizing MIMO LBR two-pairs.

  • PDF

A Simple Matrix Factorization Approach to Fast Hadamard Transform (단순한 메트릭스 계승접근에 의한 고속 아다마르 변환)

  • Lee, Moon-Ho
    • Journal of the Korean Institute of Telematics and Electronics
    • /
    • v.24 no.1
    • /
    • pp.173-176
    • /
    • 1987
  • This paper presents a simple factorization of the Hadamard matrix which is used to develop a fast algorithm for the Hadamard transform. This matrix decomposition is of the kronecker products of identity matrices and successively lower order Hadamard matrices. This following shows how the Kronecker product can be mathematically defined and efficiently implemented using a factorization matrix methods.

  • PDF

EXTENSION OF BLOCK MATRIX REPRESENTATION OF THE GEOMETRIC MEAN

  • Choi, Hana;Choi, Hayoung;Kim, Sejong;Lee, Hosoo
    • Journal of the Korean Mathematical Society
    • /
    • v.57 no.3
    • /
    • pp.641-653
    • /
    • 2020
  • To extend the well-known extremal characterization of the geometric mean of two n × n positive definite matrices A and B, we solve the following problem: $${\max}\{X:X=X^*,\;\(\array{A&V&X\\V&B&W\\X&W&C}\){\geq}0\}$$. We find an explicit expression of the maximum value with respect to the matrix geometric mean of Schur complements.

Optimization of Weighting Matrix selection (상태 비중 행렬의 선택에 대한 최적화)

  • 권봉환;윤명중
    • Journal of the Korean Institute of Telematics and Electronics
    • /
    • v.22 no.3
    • /
    • pp.91-94
    • /
    • 1985
  • A method optimizing selection of a state weighting matrix is presented. The state weight-ing matrix is chosen so that the closed-loop system responses closely match to the ideal model responses. An algorithm is presented which determines a positive semidefinite state weighting matrix in the linear quadratic optimal control design problem and an numerical example is given to show the effect of the present algorithm.

  • PDF

An Analysis of the Korean Modificatory and Conceptual Structure by a Syntactic Matrix (구문구조 Matrix에 의한 한국어의 수식구조와 개념구조의 해석)

  • 한광록;최장선;이주근
    • Journal of the Korean Institute of Telematics and Electronics
    • /
    • v.25 no.12
    • /
    • pp.1639-1648
    • /
    • 1988
  • This paper deals with an analyzing method of the Korean syntax to implement a natural language understanding system. A matrix of the syntactic structure is derived by the structural features of the Korean language. The modificatoty and conceptual structures are extracted from the matrix and the predicate logic form is expressed by extracting the phrase, clause and conceptual structure in the analyzing process. This logic form constructs an knowledge base of the sentence and proposes the possibility of the inference.

  • PDF

Block Sparse Low-rank Matrix Decomposition based Visual Defect Inspection of Rail Track Surfaces

  • Zhang, Linna;Chen, Shiming;Cen, Yigang;Cen, Yi;Wang, Hengyou;Zeng, Ming
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.13 no.12
    • /
    • pp.6043-6062
    • /
    • 2019
  • Low-rank matrix decomposition has shown its capability in many applications such as image in-painting, de-noising, background reconstruction and defect detection etc. In this paper, we consider the texture background of rail track images and the sparse foreground of the defects to construct a low-rank matrix decomposition model with block sparsity for defect inspection of rail tracks, which jointly minimizes the nuclear norm and the 2-1 norm. Similar to ADM, an alternative method is proposed in this study to solve the optimization problem. After image decomposition, the defect areas in the resulting low-rank image will form dark stripes that horizontally cross the entire image, indicating the preciselocations of the defects. Finally, a two-stage defect extraction method is proposed to locate the defect areas. The experimental results of the two datasets show that our algorithm achieved better performance compared with other methods.

A statistical analysis on the selection of the optimal covariance matrix pattern for the cholesterol data (콜레스테롤 자료에 대한 적정 공분산행렬 형태 산출에 관한 통계적 분석)

  • Jo, Jin-Nam;Baik, Jai-Wook
    • Journal of the Korean Data and Information Science Society
    • /
    • v.21 no.6
    • /
    • pp.1263-1270
    • /
    • 2010
  • Sixty patients were divided into three groups. Each group of twenty persons had fed on different diet foods over 5 weeks. Cholesterol had been measured repeatedly five times at an interval of a week during 5 weeks. It resulted from mixed model analysis of repeated measurements data that homogeneous toeplitz covariance matrix pattern was selected as the optimal covariance pattern. The correlations between measurements of different times for the covariance matrix are somewhat highly correlated as 0.64-0.78. Based upon the homogeneous toeplitz covariance pattern model, the time effect was found to be highly significant, but the treatment effect and treatment-time interaction effect were found to be insignificant.

MALDI Mass Spectrometric Analysis of Nonderivatized Steroids Using Cyclodextrin-supported 2,5-Dihydroxybenzoic Acid as Matrix

  • Son, Jeongjin;Cha, Sangwon
    • Bulletin of the Korean Chemical Society
    • /
    • v.35 no.5
    • /
    • pp.1409-1412
    • /
    • 2014
  • Sex hormones are important metabolites in vertebrates' development and reproduction. For rapid screening sex hormones, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is one of the promising analytical platforms, but MALDI MS faces many challenges in detecting steroids such as low ionization efficiency and matrix background interference. One potential strategy to overcome matrix interference in the low m/z region is using a cyclodextrin (CD)-supported matrix for steroid analysis since CD-supported matrixes are known to effectively suppress matrix-related ion signals. In this study, we aimed to find the optimal CD-supported matrix for the analysis of the nonderivatized sex steroids. Our results showed that the ${\alpha}CD$-supported 2,5-dihydroxybenzoic acid (DHB) matrix efficiently ionized all three major classes of sex hormones, estrogens, androgens, and progestagens, with low or no matrix background and also with high sensitivity. In addition, the ${\alpha}CD$-supported DHB matrix mainly generated molecular ions or protonated ions of sex hormones, and this enabled us to obtain information-rich tandem mass spectra which potentially lead to unambiguous identification of steroid species from complex metabolite mixtures.

A Class of Binary Cocyclic Quasi-Jacket Block Matrices

  • Lee Moon-Ho;Pokhrel Subash Shree;Choi Seung-Je;Kim Chang-Joo
    • Journal of electromagnetic engineering and science
    • /
    • v.7 no.1
    • /
    • pp.28-34
    • /
    • 2007
  • In this paper, we present a quasi-Jacket block matrices over binary matrices which all are belong to a class of cocyclic matrices is the same as the Hadamard case and are useful in digital signal processing, CDMA, and coded modulation. Based on circular permutation matrix(CPM) cocyclic quasi block low-density matrix is introduced in this paper which is useful in coding theory. Additionally, we show that the fast algorithm of quasi-Jacket block matrix.

New Scattering Matrix Model for Modeling Ferrite Media Using the TLM Method

  • Zugari, Asmaa;El Adraoui, Soufiane;Yaich, Mohamed Iben;Khalladi, Mohsine
    • ETRI Journal
    • /
    • v.34 no.4
    • /
    • pp.536-541
    • /
    • 2012
  • This paper aims to extend the transmission line matrix method with a hybrid symmetrical condensed node (HSCN) to model ferrite media in the time domain. To take into account the anisotropy and dispersive properties of ferrite media, equivalent current sources are incorporated into supplementary stubs of the original HSCN. The scattering matrix of the proposed HSCN is provided, and the validity of this approach is demonstrated for both transversely and longitudinally magnetized ferrites. Agreement is achieved between the results of this approach and those of the theoretical and the finite-difference time-domain method.