Results 71 to 80 of about 206,616 (184)
A* Orthogonal Matching Pursuit: Best-First Search for Compressed Sensing Signal Recovery
, 2012 Compressed sensing is a developing field aiming at reconstruction of sparse signals acquired in reduced dimensions, which make the recovery process under-determined.
Blumensath +24 more
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IET Networks, 2019 This study proposes a construction method of deterministic measurement matrix based on a correlation criterion. On this basis, the authors investigated the massive multiple‐input and multiple‐output (MIMO) channel estimation algorithm using the ...
Ruijin Ma, Huisheng Zhang
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Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 Time-frequency signal transform is considered. Advantages of joint time-frequency analysis over traditional separate analysis in time or frequency domains are shown.
Al. A. Petrovsky, V. Y. Herasimovich
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Sparse Signal Recovery via Rescaled Matching Pursuit
AxiomsWe propose the Rescaled Matching Pursuit (RMP) algorithm to recover sparse signals in high-dimensional Euclidean spaces. The RMP algorithm has less computational complexity than other greedy-type algorithms, such as Orthogonal Matching Pursuit (OMP).
Wan Li, Peixin Ye
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MATCHING PURSUIT ALGORITHM IN ASSESSING THE STATE OF ROLLING BEARINGS [PDF]
Applied Computer Science, 2017 In this paper the results of Matching Pursuit (MP) Octave algorithm applied to noise, vibration and harness (NVH) diagnosis of rolling bearings are presented. For this purpose two bearings in different condition state were examined.
Kamil JONAK, Paweł KRUKOW
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New Coherence and RIP Analysis for Weak Orthogonal Matching Pursuit
, 2014 In this paper we define a new coherence index, named the global 2-coherence, of a given dictionary and study its relationship with the traditional mutual coherence and the restricted isometry constant.
de Hoog, Frank, Yang, Mingrui
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Journal of Applied Science and EngineeringTraditional mobile robot visual image hierarchical matching algorithms can only complete rough matching, which leads to low matching accuracy and long matching time.
Chuanlei Dai, Yuqian Liu, Zhiwei Shi
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Video compression using matching pursuits [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 1999 The use of matching pursuit (MP) to code video using overcomplete Gabor basis functions has recently been introduced. In this paper, we propose new functionalities such as SNR scalability and arbitrary shape coding for video coding based on matching pursuit.
O.K. Al-Shaykh +4 more
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Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
, 2016 Subspace clustering methods based on $\ell_1$, $\ell_2$ or nuclear norm regularization have become very popular due to their simplicity, theoretical guarantees and empirical success.
Robinson, Daniel P. +2 more
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Greedy sparse decompositions: a comparative study
EURASIP Journal on Advances in Signal Processing, 2011 The purpose of this article is to present a comparative study of sparse greedy algorithms that were separately introduced in speech and audio research communities. It is particularly shown that the Matching Pursuit (MP) family of algorithms (MP, OMP, and
Moreau Nicolas +2 more
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