Results 221 to 230 of about 51,696 (258)

Wavelength selective switching for optical bandwidth management

Bell Labs Technical Journal, 2006
Optical transport capacities have grown significantly in the last decade to meet the increased demands on communications networks. This growth has been achieved both by increases in individual channel rates, which are based on time division multiplexing (TDM), and by increased channel counts, through the use of dense wavelength division multiplexing ...
David T. Neilson, Christopher R. Doerr, Dan M. Marom, Roland Ryf, Mark P. Earnshaw   +4 more
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Bandwidth Selection for Kernel Estimates

2001
This chapter is about the choice of the bandwidth (or smoothing factor) h ∈ (0, ∞) of the standard kernel estimate $$ {f_{n,h}}(x) = \frac{1}{{n{h^d}}}\sum\limits_{i = 1}^n {K\left( {\frac{{x - {X_i}}}{h}} \right)} . $$
Luc Devroye, Gábor Lugosi
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Bandwidth selection for kernel log-density estimation

Computational Statistics & Data Analysis, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martin L. Hazelton, Murray P. Cox
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Offset Selection for Bandwidth Maximization on Multiple Routes

2018 Annual American Control Conference (ACC), 2018
We consider the problem of offset selection for fixed-time signals in a network of arbitrary shape so as to increase the bandwidths that vehicles on multiple routes receive. Assuming that all signals have a common cycle, we utilize the concept of relative path offsets and formulate the problem of maximizing a weighted sum of path bandwidths. This leads
Negar Mehr, Marc Sanselme, Nitzan Orr, Roberto Horowitz, Gabriel B. Gomes   +4 more
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Path selection and bandwidth allocation in MPLS networks

Performance Evaluation, 2003
Multi-protocol label switching extends the IP destination-based routing protocols to provide new and scalable routing capabilities in connectionless networks using relatively simple packet forwarding mechanisms. MPLS networks carry traffic on virtual connections called label switched paths.
James E. Burns, Teunis J. Ott, Anthony E. Krzesinski, Karen E. Müller   +3 more
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On the Selection of the Bandwidth Parameter for the k‐Chart

Quality and Reliability Engineering International, 2017
The k‐chart, based on support vector data description, has received recent attention in the literature. We review four different methods for choosing the bandwidth parameter, s, when the k‐chart is designed using the Gaussian kernel. We provide results of extensive Phase I and Phase II simulation studies varying the method of choosing the bandwidth ...
Maria L. Weese, Waldyn G. Martinez, L. Allison Jones-Farmer   +2 more
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Bandwidth Selection for Changepoint Estimation in Nonparametric Regression

Technometrics, 2004
Nonparametric estimation of abrupt changes in a regression function involves choosing smoothing (bandwidth) parameters. The performance of estimation procedures depends heavily on this choice. So far, little attention has been paid to the crucial issue of choosing appropriate bandwidth parameters in practice.
Irène Gijbels, Anne-Cécile Goderniaux
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Smoothing bandwidth selection for response latency estimation

Journal of Neuroscience Methods, 1999
Stimulus response latency is the delay between stimulus onset and the evoked modulation in neural activity. A common technique to estimate latencies involves binning the spike arrival times to form a peri-stimulus histogram. This histogram is smoothed using a fixed bandwidth. The estimated latency is the first time following stimulus onset in which the
H S, Friedman, C E, Priebe
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Bandwidth reservation with selectable bit-rate streams

Multimedia Systems, 1998
Video and audio compression techniques allow continuous media streams to be transmitted at bit rates that are a function of the delivered quality of service. Digital networks will be increasingly used for the transmission of such continuous media streams.
Carl J. Beckmann, Ahmed A. Moin, Saurab Nog   +2 more
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Bandwidth selection for the smoothed bootstrap percentile method

Computational Statistics & Data Analysis, 2001
Some applications of the bootstrap involve smoothing the estimated distribution that is resampled, a method known as the smoothed bootstrap. Recently, the effect of resampling a kernel smoothed distribution was evaluated through expansions for the coverage of bootstrap percentile confidence intervals.
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