MATH 6267 SYLLABUS Spring 2011 Course Number: Math 6267

Source URL: people.math.gatech.edu

• Mathematical optimization
• Dimension reduction
• Machine learning
• Regularization
• Linear regression
• Least squares
• Compressed sensing
• Multivariate normal distribution
• Chemometrics
• Statistics
• Regression analysis
• Econometrics

Efficient Agile Sink Selection in Wireless Sensor Networks based on Compressed Sensing Mohammadreza Mahmudimanesh Amir Naseri

Source URL: www1.deeds.informatik.tu-darmstadt.de

• Wireless sensor network
• Matrices
• Markov models
• Multivariate statistics
• Mathematical optimization
• Network coding
• Sensor node
• Multivariate random variable
• Euclidean vector
• Algebra
• Mathematics
• Statistics

MATH 6267 SYLLABUS Spring 2013 Course Number: Math 6267

Source URL: people.math.gatech.edu

• Mathematical optimization
• Dimension reduction
• Machine learning
• Regularization
• Linear regression
• Least squares
• Chemometrics
• Compressed sensing
• Multivariate normal distribution
• Statistics
• Regression analysis
• Econometrics

Compressed sensing under weak moment assumptions Guillaume Lecu´e CNRS, Ecole Polytechnique March[removed]SAMSI

Source URL: www.samsi.info

• Linear algebra
• Mathematical optimization
• Regression analysis
• Signal processing
• Sparse vector
• Mathematics
• Compressed sensing
• Information theory

! Phidias Ultra-Low-Power Holistic Design for Smart Biosignals Computing Platforms Dr. Giovanni Ansaloni

Source URL: www.ict-energy.eu

• Technology
• Digital signal processing
• Compressed sensing
• Sensor node
• École Polytechnique Fédérale de Lausanne
• Signal
• Signal processing
• Telecommunications engineering
• Electronics

Errata for the book “Interaction between compressed sensing, random matrices, and high dimensional geometry” Panoramas et Synthèses 37 Société Mathématique de France[removed]D. Chafaï, O. Guédon, G. Lecué, A. P

Source URL: djalil.chafai.net

N news Science | DOI:[removed][removed]

Source URL: www.settheory.com

• Digital signal processing
• Theoretical computer science
• Signal processing
• Compressed sensing
• Linear algebra
• Regression analysis
• Nyquist–Shannon sampling theorem
• Sampling theory
• Magnetic resonance imaging
• Mathematics
• Applied mathematics
• Information theory

CALL FOR PAPERS th 48 Annual Asilomar Conference on Signals, Systems, and Computers Asilomar Hotel and Conference Grounds

Source URL: www.asilomarsscconf.org

• Information theory
• Electronic engineering
• Technology
• Beamforming
• Speech coding
• MIMO
• Compressed sensing
• Cognitive radio
• Cooperative diversity
• Telecommunications engineering
• Radio resource management
• Signal processing

1 Network Tomography via Compressed Sensing Mohammad H. Firooz, Student Member, IEEE, Sumit Roy, Fellow, IEEE, Electrical Engineering Department University of Washington, Seattle, WA, USA.

Source URL: www.ee.washington.edu

• Graph
• Adjacency matrix
• Bipartite graph
• Shortest path problem
• Topology
• Expander graph
• Logical matrix
• Directed graph
• Bipartite double cover
• Graph theory
• Mathematics
• Matrices

LEARNING TO SENSE SPARSE SIGNALS: SIMULTANEOUS SENSING MATRIX AND SPARSIFYING DICTIONARY OPTIMIZATION By Julio Martin Duarte-Carvajalino

Source URL: ima.umn.edu

• Linear algebra
• Statistics
• Information theory
• Digital signal processing
• Multivariate statistics
• Compressed sensing
• Matching pursuit
• Nyquist–Shannon sampling theorem
• Overcompleteness
• Signal processing
• Algebra
• Mathematics