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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 sensingMutual 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
2016
2016
Novel Approach to Design Time-Domain Training Sequence for Accurate Sparse Channel Estimation
Nowadays, orthogonal frequency division multiplexing system plays a more and more important role in telecommunication systems… 
2015
2015
Spectral–Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation
For hyperspectral image (HSI) classification, it is challenging to adopt the methodology of sparse-representation-based… 
2014
2014
Shrinkage-Based Alternating Projection Algorithm for Efficient Measurement Matrix Construction in Compressive Sensing
A simple but efficient measurement matrix construction algorithm (MMCA) within compressive sensing (CS) framework is introduced… 
Highly Cited
2011
Highly Cited
2011
Block-Sparse Recovery via Convex Optimization
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… 
Highly Cited
2009
Highly Cited
2009
Online Prediction of Time Series Data With Kernels
Kernel-based algorithms have been a topic of considerable interest in the machine learning community over the last ten years… 
2009
2009
Sparse Modeling with Universal Priors and Learned Incoherent Dictionaries(PREPRINT)
Abstract : Sparse data models have gained considerable attention in recent years, and their use has led to state-of-the-art… 
Highly Cited
2008
Highly Cited
2008
Dictionary Preconditioning for Greedy Algorithms
This paper introduces the concept of sensing dictionaries. It presents an alteration of greedy algorithms like thresholding or… 
Highly Cited
2006
Highly Cited
2006
Sparse Approximation Via Iterative Thresholding
The well-known shrinkage technique is still relevant for contemporary signal processing problems over redundant dictionaries. We… 
Highly Cited
2004
Highly Cited
2004
Greed is good: algorithmic results for sparse approximation
This article presents new results on using a greedy algorithm, orthogonal matching pursuit (OMP), to solve the sparse… 
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