'Finite time interval' presentation slideshows

CLIMATE CHANGE AND ENERGY Juan Carlos de Obeso October 12 2013

CLIMATE CHANGE AND ENERGY Juan Carlos de Obeso October 12 2013. Climate System. What is Climate?.

542 views • 48 slides

607 views • 48 slides

PHYSICS 231 INTRODUCTORY PHYSICS I

PHYSICS 231 INTRODUCTORY PHYSICS I. Lecture 2. PHYSICS 231 INTRODUCTORY PHYSICS I. Lecturer: Carl Schmidt (Sec. 001) schmidt@pa.msu.edu (517) 355-9200, ext. 2128 Office Hours: Friday 1-2:30 pm in 1248 BPS or by appointment. Main points of last lecture. SI units: Mass: kilograms (kg)

438 views • 42 slides

Signal & Linear system

Signal & Linear system. Chapter 6 CT Signal Analysis : Fourier Series Basil Hamed. Why do We Need Fourier Analysis?. The essence of Fourier analysis is to represent periodic signals in terms of complex exponentials (or trigonometric functions) Many reasons:

985 views • 35 slides

Signal & Linear system

Signal & Linear system. Chapter 6 CT Signal Analysis : Fourier Series Basil Hamed. Why do We Need Fourier Analysis?. The essence of Fourier analysis is to represent periodic signals in terms of complex exponentials (or trigonometric functions) Many reasons:

451 views • 34 slides

Object Oriented Simulation with OOSimL

Object Oriented Simulation with OOSimL. Detachable Resources Fall 2015. Review Standard Resources. A system can include zero or more resource pools Each resource pool has a number of resource items A number of these resource items can be acquired by one or more processes.

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Processing EMG

Processing EMG. David DeLion UNLV Biomechanics Lab. Why do we process EMG?. Raw EMG offers us valuable information in a practically useless form Raw EMG signals cannot be quantitatively compared between subjects

766 views • 29 slides

Adiabaticity in Open Quantum Systems: Geometric Phases & Adiabatic Quantum Computing

USC Center for Quantum Information Science and Technology CQIST. Adiabaticity in Open Quantum Systems: Geometric Phases & Adiabatic Quantum Computing. Adiabatic Approximation in Open Quantum Systems , Phys. Rev. A 71 , 012331 (2005)

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Fundamentals of Communication Theory

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Optimal Control on a Discrete Time Influenza Model

Optimal Control on a Discrete Time Influenza Model. Paula A. Gonzalez-Parra 1 Leticia Velazquez 1,2 Sunmi Lee 3 Carlos Castillo-Chavez 3 1 Program in Computational Science, University of Texas at El Paso 2 Department in Mathematical Sciences, University of Texas at El Paso

352 views • 18 slides

LECTURE 08: FOURIER SERIES

LECTURE 08: FOURIER SERIES. Objectives: Eigenfunctions Fourier Series of CT Signals Trigonometric Fourier Series Dirichlet Conditions Gibbs Phenomena Resources: Wiki: Fourier Series Wiki: Eigenfunctions OW: S&S (pp. 177-201) MIT 6.003: Lecture 5 Wolfram: Fourier Series Falstad : Java Applet.

392 views • 13 slides