Space-Time Tradeoffs for Approximate Spherical Range Counting Sunil Arya∗ Theocharis Malamatos† David M. Mount‡

Source URL: www.cse.ust.hk

• Discrete geometry
• Search algorithms
• Quadtree
• Nearest neighbor search
• Voronoi diagram
• Information science
• Mathematics
• Geometry

Testing for Discrete and Continuous Spectral Differences Barry Quinn Macquarie University, Statistics Department Building C5C, Macquarie University Sydney, NSW, 2109, Australia

Source URL: stat.mq.edu.au

• Stochastic processes
• Noise
• Econometrics
• Spectral density
• Stationary process
• Autoregressive model
• Time series
• Autoregressive conditional heteroskedasticity
• White noise
• Statistics
• Time series analysis
• Signal processing

2009 Paper 9 Question 12 Digital Signal Processing (a) Make the following statements correct by changing one word or number. (Negating the sentence is not sufficient.) (i ) In the stopband, a filter design approximates

Source URL: www.cl.cam.ac.uk

• Signal processing
• Time series analysis
• Unitary operators
• Window function
• Discrete signal
• Fourier transform
• JPEG
• Short-time Fourier transform
• Discrete sine transform
• Mathematical analysis
• Fourier analysis
• Digital signal processing

“Three Fives” Discrete 555 Timer Kit Re-create one of the most classic, popular, and all-around useful chips of all time. v 2.0 Kit Assembly Instructions

Source URL: shop.emscdn.com

• Electronics manufacturing
• Electronic engineering
• Electrical components
• Semiconductor devices
• Resistor
• Transistor
• Printed circuit board
• 2N3904
• Soldering
• Electronics
• Electromagnetism
• Electrical engineering

Testing for Homogeneity of Variance in Time Series: Long Memory, Wavelets and the Nile River Brandon Whitcher Peter Guttorp Simon D. Byers

Source URL: www.nrcse.washington.edu

• Econometrics
• Wavelets
• Analysis of variance
• Discrete wavelet transform
• Wavelet
• F-test
• Haar wavelet
• Autoregressive conditional heteroskedasticity
• Normal distribution
• Statistics
• Statistical tests
• Time series analysis

William Mong Distinguished Lecture Series FACULTY OF ENGINEERING, THE UNIVERSITY OF HONG KONG Sampling Sampling Date: March 27, 2008 (Thursday) Time: 6:006:00-7:15 pm

Source URL: engg.hku.hk

• Electrical engineering
• Mathematics
• Alan V. Oppenheim
• Nyquist–Shannon sampling theorem
• Aliasing
• Sampling
• Discrete time
• Discrete signal
• Bandlimiting
• Digital signal processing
• Signal processing
• Applied mathematics

On a discrete-time two level NCD risk model Xueyuan Wua , Mi Chenb and Junyi Guob a Department of Economics, The University of Melbourne, VIC 3010, Australia b

Source URL: fbe.unimelb.edu.au

A Frequency-Domain Analysis of Head-Motion Prediction Ronald Azuma§ Hughes Research Laboratories Abstract The use of prediction to eliminate or reduce the effects of system delays in Head-Mounted Display systems has bee

Source URL: www.cs.unc.edu

• Signal processing
• Time series analysis
• Fourier analysis
• Linear filters
• Kalman filter
• Linear prediction
• Frequency
• Discrete Fourier transform
• Window function
• Mathematical analysis
• Digital signal processing
• Statistics

Introduction • a time series is a set of observations made sequentially in time (but techniques from time series analysis often applied to observations made sequentially in depth, along a transect, etc.) • denote set

Source URL: faculty.washington.edu

• Time series
• Continuous function
• Mathematics
• Signal processing
• Digital signal processing
• Discrete signal

JIST: Java In Simulation Time Transparent Parallel and Optimistic Execution of Parallel Discrete Event Simulations

Source URL: jist.ece.cornell.edu

• Electronic design automation
• Discrete event simulation
• PDES
• Logic simulation
• Simula
• Electronics
• Information systems
• Scientific modeling
• Simulation
• Computing