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Babel function
Known as:
Cumulative coherence
The Babel function (also known as cumulative coherence) measures the maximum total coherence between a fixed atom and a collection of other atoms in…
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Related topics
Related topics
3 relations
Compressed sensing
Mutual coherence (linear algebra)
Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Signal Recovery under Cumulative Coherence
Peng Li
,
Wengu Chen
Journal of Computational and Applied Mathematics
2018
Corpus ID: 49532131
2016
2016
Novel Approach to Design Time-Domain Training Sequence for Accurate Sparse Channel Estimation
Xu-Long Ma
,
Fang Yang
,
Wenbo Ding
,
Jian Song
IEEE transactions on broadcasting
2016
Corpus ID: 9391213
Nowadays, orthogonal frequency division multiplexing system plays a more and more important role in telecommunication systems…
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2015
2015
Spectral–Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation
Lin He
,
Yuanqing Li
,
Xiaoxin Li
,
Wei Wu
IEEE Transactions on Geoscience and Remote…
2015
Corpus ID: 2785835
For hyperspectral image (HSI) classification, it is challenging to adopt the methodology of sparse-representation-based…
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2014
2014
Shrinkage-Based Alternating Projection Algorithm for Efficient Measurement Matrix Construction in Compressive Sensing
Wenjie Yan
,
Qiang Wang
,
Yi Shen
IEEE Transactions on Instrumentation and…
2014
Corpus ID: 6717990
A simple but efficient measurement matrix construction algorithm (MMCA) within compressive sensing (CS) framework is introduced…
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Highly Cited
2011
Highly Cited
2011
Block-Sparse Recovery via Convex Optimization
Ehsan Elhamifar
,
R. Vidal
IEEE Transactions on Signal Processing
2011
Corpus ID: 6818818
Given a dictionary that consists of multiple blocks and a signal that lives in the range space of only a few blocks, we study the…
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Highly Cited
2009
Highly Cited
2009
Online Prediction of Time Series Data With Kernels
C. Richard
,
J. Bermudez
,
P. Honeine
IEEE Transactions on Signal Processing
2009
Corpus ID: 1877997
Kernel-based algorithms have been a topic of considerable interest in the machine learning community over the last ten years…
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2009
2009
Sparse Modeling with Universal Priors and Learned Incoherent Dictionaries(PREPRINT)
Ignacio Francisco Ramírez Paulino
,
F. Lecumberry
,
G. Sapiro
2009
Corpus ID: 13370536
Abstract : Sparse data models have gained considerable attention in recent years, and their use has led to state-of-the-art…
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Highly Cited
2008
Highly Cited
2008
Dictionary Preconditioning for Greedy Algorithms
Karin Schnass
,
P. Vandergheynst
IEEE Transactions on Signal Processing
2008
Corpus ID: 1724128
This paper introduces the concept of sensing dictionaries. It presents an alteration of greedy algorithms like thresholding or…
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Highly Cited
2006
Highly Cited
2006
Sparse Approximation Via Iterative Thresholding
Kyle Herrity
,
A. Gilbert
,
J. Tropp
IEEE International Conference on Acoustics Speech…
2006
Corpus ID: 12311023
The well-known shrinkage technique is still relevant for contemporary signal processing problems over redundant dictionaries. We…
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Highly Cited
2004
Highly Cited
2004
Greed is good: algorithmic results for sparse approximation
J. Tropp
IEEE Transactions on Information Theory
2004
Corpus ID: 675692
This article presents new results on using a greedy algorithm, orthogonal matching pursuit (OMP), to solve the sparse…
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