Results 11 to 20 of about 768,860 (284)
Matching Pursuit With Stochastic Selection [PDF]
, 2012 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Peel, Thomas +3 more
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Expectation maximization based matching pursuit [PDF]
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 A novel expectation maximization based matching pursuit (EMMP) algorithm is presented. The method uses the measurements as the incomplete data and obtain the complete data which corresponds to the sparse solution using an iterative EM based framework. In standard greedy methods such as matching pursuit or orthogonal matching pursuit a selected atom can
Ali Cafer Gürbüz +2 more
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A Posteriori Quantized Matching Pursuit. [PDF]
, 2001 This paper studies quantization error in the context of Matching Pursuit coded streams and proposes a new coefficient quantization scheme taking benefit of the Matching Pursuit properties. The coefficients energy in Matching Pursuit indeed decreases with the iteration number, and the decay rate can be upper-bounded with an exponential curve driven by ...
Frossard, P., Vandergheynst, P.
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Preconditioned generalized orthogonal matching pursuit
EURASIP Journal on Advances in Signal Processing, 2020 Recently, compressed sensing (CS) has aroused much attention for that sparse signals can be retrieved from a small set of linear samples. Algorithms for CS reconstruction can be roughly classified into two categories: (1) optimization-based algorithms ...
Zhishen Tong +4 more
doaj +1 more source
Multipath Matching Pursuit [PDF]
IEEE Transactions on Information Theory, 2014 In this paper, we propose an algorithm referred to as multipath matching pursuit that investigates multiple promising candidates to recover sparse signals from compressed measurements. Our method is inspired by the fact that the problem to find the candidate that minimizes the residual is readily modeled as a combinatoric tree search problem and the ...
Suhyuk, Kwon, Wang, Jian, Shim, Byonghyo
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A CONSTRAINED MATCHING PURSUIT APPROACH TO AUDIO DECLIPPING [PDF]
, 2011 © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Emiya, Valentin +18 more
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Recovery of Sparse Signals via Modified Hard Thresholding Pursuit Algorithms
IET Signal Processing, 2023 In this paper, we propose a modified version of the hard thresholding pursuit algorithm, called modified hard thresholding pursuit (MHTP), using a convex combination of the current and previous points.
Li-Ping Geng +3 more
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An Improved Compression Sampling Matching Pursuit Algorithm
Guangtongxin yanjiu, 2021 Least Square (LS) estimation method in Orthogonal Frequency Division Multiplexing (OFDM) system ignores the noise effect in the process of choosing the residual of atom update.
Fang LEI +4 more
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Sequential Sparse Matching Pursuit [PDF]
2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2009 We propose a new algorithm, called Sequential Sparse Matching Pursuit (SSMP), for solving sparse recovery problems. The algorithm provably recovers a k-sparse approximation to an arbitrary n-dimensional signal vector x from only O(k log(n/k)) linear measurements of x. The recovery process takes time that is only near-linear in n.
Berinde, Radu, Indyk, Piotr
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Perturbed Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Signal Processing, 2013 Compressive Sensing theory details how a sparsely represented signal in a known basis can be reconstructed with an underdetermined linear measurement model. However, in reality there is a mismatch between the assumed and the actual bases due to factors such as discretization of the parameter space defining basis components, sampling jitter in A/D ...
Oguzhan Teke +2 more
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