'Orthogonality' presentation slideshows

COSC3306: Programming Paradigms Lecture 1: Introduction

COSC3306: Programming Paradigms Lecture 1: Introduction. Haibin Zhu, Ph.D. Computer Science Nipissing University (C) 2003. Course Outline. This course will give you the opportunity to learn the fundamental concepts underlying modern programming languages.

1.25k views • 45 slides

Shape Classification Using Zernike Moments

Shape Classification Using Zernike Moments. By: Michael Vorobyov. Moments. In general, moments are quantitative values that describe a distribution by raising the components to different powers. Regular (Cartesian) Moments.

1.08k views • 36 slides

Low Frequency Variability and Climate Regimes: A look at the Charney-DeVore Model

Low Frequency Variability and Climate Regimes: A look at the Charney-DeVore Model. Josh Griffin and Marcus Williams. Outline. Brief History Introduction The CDV model From Holton From Charney Examples Stochastic forcing. What are we talking about?.

522 views • 33 slides

Chapter 6 Bessel functions

3.19k views • 31 slides

5.1 Orthogonality

5.1 Orthogonality. Definitions. A set of vectors is called an orthogonal set if all pairs of distinct vectors in the set are orthogonal. An orthonormal set is an orthogonal set of unit vectors.

1.09k views • 30 slides

Function Approximation

Function Approximation. The Problem we are trying to approximate a function f(x) by another function g n (x) which consists of a sum over N orthogonal functions F (x) weighted by some coefficients a n . The Problem.

1.02k views • 28 slides

Lecture 11 Fundamental Theorems of Linear Algebra Orthogonalily and Projection

Lecture 11 Fundamental Theorems of Linear Algebra Orthogonalily and Projection. Shang-Hua Teng. The Whole Picture. Rank(A) = m = n A x = b has unique solution. Rank(A) = m < n A x = b has n-m dimensional solution. Rank(A) = n < m A x = b has 0 or 1 solution.

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USER COOPERATIVE COMMUNICATIONS

USER COOPERATIVE COMMUNICATIONS. INSTRUCTOR: Dr. GEORGE COLLINS PRESENTED BY: SRUTHI REDDY MANDADI. CONTENTS Introduction Diversity Relay Channels A General Three Node Relay Channel Wireless Relay Channels User Cooperation In Wireless Networks Multi-hop Relay Channel Summary

390 views • 24 slides

Method of Least Squares

Method of Least Squares. Least Squares. Method of Least Squares : Deterministic approach The inputs u(1), u(2), ..., u(N) are applied to the system The outputs y(1), y(2), ..., y(N) are observed Find a model which fits the input - output relation to a ( linear ?) curve , f(n,u(n))

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Lecture 10 Harmonic oscillator

Lecture 10 Harmonic oscillator.

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CS448f: Image Processing For Photography and Vision

CS448f: Image Processing For Photography and Vision. Wavelets Continued. Last Time:. Last time we saw the Daubechies filter satisfied the following: fully orthogonal four taps as smooth as possible wavelet filter a simple modification of the scaling filter

259 views • 18 slides