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Introduction to Matrices Douglas N. Greve dgreve@mgh.harvard

Introduction to Matrices Douglas N. Greve dgreve@mgh.harvard

Introduction to Matrices Douglas N. Greve dgreve@mgh.harvard.edu. Why Matrices?. Simplifies notation Simplifies concepts Grounding for general linear model (GLM) Simplifies implementation (eg, matlab, octave) Optimization. 2. 4. y. p. 3.3i. -7.4. What is the matrix?.

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615 views • 55 slides
Filtering in the Frequency Domain (Circulant Matrices and Convolution)

Filtering in the Frequency Domain (Circulant Matrices and Convolution)

Digital Image Processing. Filtering in the Frequency Domain (Circulant Matrices and Convolution). Christophoros Nikou cnikou@cs.uoi.gr. Toeplitz matrices. Elements with constant value along the main diagonal and sub-diagonals.

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1.95k views • 48 slides
Chapter 8 Dynamic Models

Chapter 8 Dynamic Models

Chapter 8 Dynamic Models. 8.1 Introduction 8.2 Serial correlation models 8.3 Cross-sectional correlations and time-series cross-section models 8.4 Time-varying coefficients 8.5 Kalman filter approach. 8.1 Introduction.

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525 views • 40 slides
Mathematical Preliminaries

Mathematical Preliminaries

Mathematical Preliminaries. Matrix Theory. Vectors n th element of vector u : u(n) Matrix m th row and n th column of A : a(m,n). column vector. Lexicographic Ordering(Stacking operation). Row-ordered form of a matrix Column-ordered form of a matrix.

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551 views • 40 slides
Chapter 8 Dynamic Models

Chapter 8 Dynamic Models

Chapter 8 Dynamic Models. 8.1 Introduction 8.2 Serial correlation models 8.3 Cross-sectional correlations and time-series cross-section models 8.4 Time-varying coefficients 8.5 Kalman filter approach. 8.1 Introduction.

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506 views • 40 slides
Deconvolution

Deconvolution

Deconvolution. Summer 2008. Research Presentation, The University of Tennessee, Knoxville. by Muharrem Mercimek. Linear Methods. Tikhonov Regularization

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367 views • 28 slides
Philosophiae Naturalis Principia Matlab ematica

Philosophiae Naturalis Principia Matlab ematica

Philosophiae Naturalis Principia Matlab ematica. Damian Gordon. Getting to Matlab. Magic Matrix. MAGIC Magic square. MAGIC(N) is an N-by-N matrix constructed from the integers 1 through N^2 with equal row, column, and diagonal sums.

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295 views • 15 slides

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