Christopher Rozell
Christopher Rozell
Professor of Electrical and Computer Engineering, Georgia Institute of Technology
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Sparse coding via thresholding and local competition in neural circuits
CJ Rozell, DH Johnson, RG Baraniuk, BA Olshausen
Neural computation 20 (10), 2526-2563, 2008
All-optical nanoscale pH meter
SW Bishnoi, CJ Rozell, CS Levin, MK Gheith, BR Johnson, DH Johnson, ...
Nano letters 6 (8), 1687-1692, 2006
Learning sparse codes for hyperspectral imagery
AS Charles, BA Olshausen, CJ Rozell
IEEE Journal of Selected Topics in Signal Processing 5 (5), 963-978, 2011
Sparsity penalties in dynamical system estimation
A Charles, MS Asif, J Romberg, C Rozell
2011 45th annual conference on information sciences and systems, 1-6, 2011
Visual nonclassical receptive field effects emerge from sparse coding in a dynamical system
M Zhu, CJ Rozell
PLoS Comput Biol 9 (8), e1003191, 2013
Convergence and Rate Analysis of Neural Networks for Sparse Approximation
A Balavoine, J Romberg, CJ Rozell
IEEE Transactions on Neural Networks and Learning Systems 23 (9), 1377-1389, 2012
The restricted isometry property for random block diagonal matrices
A Eftekhari, HL Yap, CJ Rozell, MB Wakin
Applied and Computational Harmonic Analysis 38 (1), 1-31, 2015
Concentration of Measure for Block Diagonal Matrices with Applications to Compressive Signal Processing
JY Park, HL Yap, C Rozell, M Wakin
IEEE Transactions on Signal Processing 59 (12), 5859-5875, 2011
Optimal sparse approximation with integrate and fire neurons
S Shapero, M Zhu, J Hasler, C Rozell
International journal of neural systems 24 (05), 1440001, 2014
Locally competitive algorithms for sparse approximation
C Rozell, D Johnson, R Baraniuk, B Olshausen
2007 IEEE International Conference on Image Processing 4, IV-169-IV-172, 2007
The restricted isometry property for block diagonal matrices
HL Yap, A Eftekhari, MB Wakin, CJ Rozell
2011 45th Annual Conference on Information Sciences and Systems, 1-6, 2011
Dynamic Filtering of Time-Varying Sparse Signals viaMinimization
AS Charles, A Balavoine, CJ Rozell
IEEE Transactions on Signal Processing 64 (21), 5644-5656, 2016
Analyzing the robustness of redundant population codes in sensory and feature extraction systems
CJ Rozell, DH Johnson
Neurocomputing 69 (10-12), 1215-1218, 2006
Modeling sensor networks with fusion frames
PG Casazza, G Kutyniok, S Li, CJ Rozell
Wavelets XII 6701, 67011M, 2007
Configurable hardware integrate and fire neurons for sparse approximation
S Shapero, C Rozell, P Hasler
Neural Networks 45, 134-143, 2013
Low power sparse approximation on reconfigurable analog hardware
S Shapero, AS Charles, CJ Rozell, P Hasler
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012
Spectral Superresolution of Hyperspectral Imagery Using Reweighted Spatial Filtering
AS Charles, CJ Rozell
IEEE Geoscience and Remote Sensing Letters 11 (3), 602-606, 2013
Evaluating the Generalization of the Hearing Aid Speech Quality Index (HASQI)
A Kressner, D Anderson, C Rozell
IEEE Transactions on Audio, Speech and Language Processing 21 (2), 407-415, 2013
Estimation and dynamic updating of time-varying signals with sparse variations
MS Asif, A Charles, J Romberg, C Rozell
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Dynamic Filtering of Sparse Signals using Reweighted l1
AS Charles, CJ Rozell
International Conference on Acoustics, Speech, and Signal Processing, 2013
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Artikkelit 1–20