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GAUSSIAN NETWORKS

by J. N. Laneman, V. Gupta Co-director
"... by Utsaw Kumar The presence of inexpensive and powerful sensing and communication devices has made it possible to deploy large scale distributed systems for a variety of applications. Interactions among different components of such a system include communication of information and controlling dynami ..."
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dynamical processes, among others. Thus, it is important to blend ideas from information theory and control theory to address problems at the core of such distributed systems. This dissertation looks at communication scenarios, in which there are feedback channels available for enhancing communication

Chapter 1 Stabilization and Control over Gaussian Networks

by Ali A. Zaidi, Tobias J. Oechtering, Serdar Yüksel, Mikael Skoglund
"... Abstract We provide an overview and some recent results on real-time communication and control over Gaussian channels. In particular, the problem of remote stabilization of linear systems driven by Gaussian noise over Gaussian relay channels is considered. Necessary and sufficient conditions for mea ..."
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for mean-square stabilization are presented, which reveal signal-to-noise ratio requirements for stabilization which are tight in certain class of settings. Optimal linear policies are constructed, global optimality and sub-optimality of such policies are investigated in a variety of settings. We also

Minimum Variance Estimation of a Sparse Vector Within the Linear Gaussian Model: An

by Zvika Ben-haim, Yonina C. Eldar
"... Abstract — We consider minimum variance estimation within the sparse linear Gaussian model (SLGM). A sparse vector is to be estimated from a linearly transformed version embedded in Gaussian noise. Our analysis is based on the theory of reproducing kernel Hilbert spaces (RKHS). After a characterizat ..."
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characterization of the RKHS associated with the SLGM, we derive a lower bound on the minimum variance achievable by estimators with a prescribed bias function, including the important special case of unbiased estimation. This bound is obtained via an orthogonal projection of the prescribed mean function onto a

ALGEBRAIC ALGORITHMS1

by Ioannis Z. Emiris, Victor Y. Pan, Elias P. Tsigaridas, Ioannis Z. Emiris, Victor Y. Pan, Elias P. Tsigaridas , 2012
"... This is a preliminary version of a Chapter on Algebraic Algorithms in the up- ..."
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This is a preliminary version of a Chapter on Algebraic Algorithms in the up-

for Sparse Translation-Invariant Signals

by Aalborg Universitet, Karsten Duarte, Marco F. Jensen, Søren Holdt, Karsten Fyhn, Student Member, Marco F. Duarte, Søren Holdt Jensen, Senior Member
"... Document Version Early version, also known as pre-print Link to publication from Aalborg University Citation for published version (APA): ..."
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Document Version Early version, also known as pre-print Link to publication from Aalborg University Citation for published version (APA):

Active Mask Framework for Segmentation of Fluorescence Microscope Images

by Gowri Srinivasa, Advisor Prof, Prof Matthew, C. Fickus, Prof Adam, D. Linstedt, Prof Robert, F. Murphy
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together

NOISE ESTIMATION BASED ON GENERALIZED GAMMA DISTRIBUTION

by unknown authors , 2013
"... XIN DANG ..."
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Abstract not found

RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing

by Jason Noah Laska , 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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. We develop a new theoretical framework to analyze this extreme case and develop new algorithms for signal reconstruction from such coarsely quantized measurements. The 1-bit CS framework leads us to scenarios where it may be more appropriate to reduce bit-depth instead of sampling rate. We find

Volume I: Computer Science and Software Engineering

by Ioannis Z. Emiris, Victor Y. Pan, Elias P. Tsigaridas, Allen Tucker, Teo Gonzales, Jorge L. Diaz-herrera, Ioannis Z. Emiris, Victor Y. Pan, Elias P. Tsigaridas , 2013
"... Algebraic algorithms deal with numbers, vectors, matrices, polynomials, for-mal power series, exponential and differential polynomials, rational functions, algebraic sets, curves and surfaces. In this vast area, manipulation with matri-ces and polynomials is fundamental for modern computations in Sc ..."
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Algebraic algorithms deal with numbers, vectors, matrices, polynomials, for-mal power series, exponential and differential polynomials, rational functions, algebraic sets, curves and surfaces. In this vast area, manipulation with matri-ces and polynomials is fundamental for modern computations

22.10.2009 Implementation of a Peer-to-Peer Multiplayer Game with Realtime Requirements

by Gutachten Alej, Ro Buchmann
"... Massively multiplayer online games (MMOGs) have become increasingly popular in the recent years, particularly in the form of online role-playing games (MMORPGs). These games support up to several ten thousand players interacting in a virtual game world. The current commercially successful games are ..."
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serious alternative. This work analyzes the implementation of both a client-server and a peer-to-peer networking model for the prototype shooter game Planet π4. Initially, a survey introduces recent academic approaches to peer-to-peer systems specifically designed for games. Of those, one system
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