The problem of optimal approximation of members of a vector space by a linear combination of members of a large overcomplete library of vectors is of impor-tance in many areas including image and video coding, image analysis, control theory, and statistics. Finding the optimal solution in the general case is mathemat-ically intractable. Matching pursuit, and its orthogo-nal version, provide greedy solutions to this problem. Orthogonal matching pursuit typically provides signif-icantly better solution compared to the nonorthogonal version, but requires much more computation. This paper presents a fast algorithm for implementation of orthogonal matching pursuit which for many coding applications has computational complexity very close to that...
In this paper, we propose a fast Evolutionary pursuit algorithm. It searches for optimal discriminan...
Matching Pursuit (MP) uses a greedy search to construct a subset of vectors, from a larger set, whic...
Two efficient algorithms are proposed to seek the sparse representation on high-dimensional Hilbert ...
Abstract- Video coding schemes based on matching pursuits Matching pursuit is a greedy algorithm tha...
The orthogonal matching pursuit (OMP) algorithm is an adaptive nonlinear algorithm for signal decomp...
Sparse signal approximations have become a fundamental tool in signal processing with wide ranging a...
Matching Pursuit and orthogonal Matching Pursuit are greedy algorithms used to obtain sparse signal ...
In this paper we describe a recursive algorithm to compute representations of functions with respect...
Batch algorithms of matching pursuit (MP) and orthogonal matching pursuit (OMP) are proposed in this...
Abstract—Matching pursuit (MP) is a greedy algorithm that de-composes a signal into a linear combina...
Abstract—In this paper, we propose a systematic approach that approximates a target dictionary to re...
Centre for Multimedia Signal Processing, Department of Electronic and Information EngineeringVersion...
Sparse coding is a widespread framework in signal and image processing. For instance, it has been em...
Matching pursuit (MP) is a greedy algorithm that decomposes a signal into a linear combination of ba...
Orthogonal Matching Pursuit (OMP) has proven itself to be a significant algorithm in image and signa...
In this paper, we propose a fast Evolutionary pursuit algorithm. It searches for optimal discriminan...
Matching Pursuit (MP) uses a greedy search to construct a subset of vectors, from a larger set, whic...
Two efficient algorithms are proposed to seek the sparse representation on high-dimensional Hilbert ...
Abstract- Video coding schemes based on matching pursuits Matching pursuit is a greedy algorithm tha...
The orthogonal matching pursuit (OMP) algorithm is an adaptive nonlinear algorithm for signal decomp...
Sparse signal approximations have become a fundamental tool in signal processing with wide ranging a...
Matching Pursuit and orthogonal Matching Pursuit are greedy algorithms used to obtain sparse signal ...
In this paper we describe a recursive algorithm to compute representations of functions with respect...
Batch algorithms of matching pursuit (MP) and orthogonal matching pursuit (OMP) are proposed in this...
Abstract—Matching pursuit (MP) is a greedy algorithm that de-composes a signal into a linear combina...
Abstract—In this paper, we propose a systematic approach that approximates a target dictionary to re...
Centre for Multimedia Signal Processing, Department of Electronic and Information EngineeringVersion...
Sparse coding is a widespread framework in signal and image processing. For instance, it has been em...
Matching pursuit (MP) is a greedy algorithm that decomposes a signal into a linear combination of ba...
Orthogonal Matching Pursuit (OMP) has proven itself to be a significant algorithm in image and signa...
In this paper, we propose a fast Evolutionary pursuit algorithm. It searches for optimal discriminan...
Matching Pursuit (MP) uses a greedy search to construct a subset of vectors, from a larger set, whic...
Two efficient algorithms are proposed to seek the sparse representation on high-dimensional Hilbert ...