Hamid Krim
Hamid Krim
Professor of ECE, Director of VISSTA Laboratory, North Carolina State University
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Cited by
Cited by
Two decades of array signal processing research: the parametric approach
H Krim, M Viberg
IEEE signal processing magazine 13 (4), 67-94, 1996
Time-invariant orthonormal wavelet representations
JC Pesquet, H Krim, H Carfantan
IEEE transactions on signal processing 44 (8), 1964-1970, 1996
A shearlet approach to edge analysis and detection
S Yi, D Labate, GR Easley, H Krim
IEEE Transactions on Image Processing 18 (5), 929-941, 2009
On denoising and best signal representation
H Krim, D Tucker, S Mallat, D Donoho
IEEE transactions on information theory 45 (7), 2225-2238, 1999
Image denoising: A nonlinear robust statistical approach
AB Hamza, H Krim
IEEE transactions on signal processing 49 (12), 3045-3054, 2001
A generalized divergence measure for robust image registration
Y He, AB Hamza, H Krim
IEEE Transactions on Signal Processing 51 (5), 1211-1220, 2003
Image segmentation and edge enhancement with stabilized inverse diffusion equations
I Pollak, AS Willsky, H Krim
IEEE transactions on image processing 9 (2), 256-266, 2000
Multiscale segmentation and anomaly enhancement of SAR imagery
CH Fosgate, H Krim, WW Irving, WC Karl, AS Willsky
IEEE Transactions on Image Processing 6 (1), 7-20, 1997
Operator approach to performance analysis of root-MUSIC and root-min-norm
H Krim, P Forster, JG Proakis
IEEE transactions on Signal Processing 40 (7), 1687-1696, 1992
A multiscale approach to pixel-level image fusion
A Ben Hamza, Y He, H Krim, A Willsky
Integrated Computer-Aided Engineering 12 (2), 135-146, 2005
Persistent homology of delay embeddings and its application to wheeze detection
S Emrani, T Gentimis, H Krim
IEEE Signal Processing Letters 21 (4), 459-463, 2014
Object representation and recognition in shape spaces
J Zhang, X Zhang, H Krim, GG Walter
Pattern recognition 36 (5), 1143-1154, 2003
Geodesic object representation and recognition
AB Hamza, H Krim
Discrete Geometry for Computer Imagery: 11th International Conference, DGCI …, 2003
Minimax description length for signal denoising and optimized representation
H Krim, IC Schick
IEEE Transactions on Information Theory 45 (3), 898-908, 1999
Bayesian approach to best basis selection
JC Pesquet, H Krim, D Leporini, E Hamman
1996 IEEE International Conference on Acoustics, Speech, and Signal …, 1996
On the statistics of best bases criteria
H Krim, JC Pesquet
Wavelets and statistics, 193-207, 1995
An entropy-based persistence barcode
H Chintakunta, T Gentimis, R Gonzalez-Diaz, MJ Jimenez, H Krim
Pattern Recognition 48 (2), 391-401, 2015
Unifying probabilistic and variational estimation
AB Hamza, H Krim, GB Unal
IEEE Signal Processing Magazine 19 (5), 37-47, 2002
Deep dictionary learning: A parametric network approach
S Mahdizadehaghdam, A Panahi, H Krim, L Dai
IEEE Transactions on Image Processing 28 (10), 4790-4802, 2019
The decentralized estimation of the sample covariance
A Scaglione, R Pagliari, H Krim
2008 42nd Asilomar Conference on Signals, Systems and Computers, 1722-1726, 2008
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