Results 21 to 30 of about 768,860 (284)
A Sparsity Preestimated Adaptive Matching Pursuit Algorithm
Journal of Electrical and Computer Engineering, 2021 In the matching pursuit algorithm of compressed sensing, the traditional reconstruction algorithm needs to know the signal sparsity. The sparsity adaptive matching pursuit (SAMP) algorithm can adaptively approach the signal sparsity when the sparsity is ...
Xinhe Zhang, Yufeng Liu, Xin Wang
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Model-Driven Deep-Learning-Based Underwater Acoustic OTFS Channel Estimation
Journal of Marine Science and Engineering, 2023 Accurate channel estimation is the fundamental requirement for recovering underwater acoustic orthogonal time–frequency space (OTFS) modulation signals.
Yuzhi Zhang +4 more
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Improved Weighted Matching Pursuit based Channel Estimation Algorithm
Guangtongxin yanjiu, 2022 Compressive sensing based matching pursuit algorithm can estimate the channel state information of communication system with shorter pilot sequences. It has the advantages of lower computational complexity and less number of pilots.
Zhi-guo Lü, Meng QI, Hong-xiang SHAO
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AMP: ASSEMBLY MATCHING PURSUIT [PDF]
Biocomputing 2013, 2012 Metagenomics, the study of the total genetic material isolated from a biological host, promises to reveal host-microbe or microbe-microbe interactions that may help to personalize medicine or improve agronomic practice. We introduce a method that discovers metagenomic units (MGUs) relevant for phenotype prediction through sequence-based dictionary ...
Surojit Biswas, Vladimir Jojic
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Structured Bayesian Orthogonal Matching Pursuit [PDF]
, 2012 International audienceTaking advantage of the structures inherent in many sparse decompositions constitutes a promising research axis. In this paper, we address this problem from a Bayesian point of view.
Cedric Herzet +5 more
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Constrained Backtracking Matching Pursuit Algorithm for Image Reconstruction in Compressed Sensing
Applied Sciences, 2021 Image reconstruction based on sparse constraints is an important research topic in compressed sensing. Sparsity adaptive matching pursuit (SAMP) is a greedy pursuit reconstruction algorithm, which reconstructs signals without prior information of the ...
Xue Bi +5 more
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Block Multipath Matching Pursuit
, 2023 In this paper, we propose a new reconstruction algorithm called Block Multipath Matching pursuit (BMMP), which is an extension of multipath matching pursuit (MMP) in block compressed sensing. Then the reconstruction condition of BMMP based on restricted isometric property (RIP) is established. In addition, we also provides a guarantee of reconstruction
Jie Zhou, Pingping Zhang
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Underdetermined noisy blind separation using dual matching pursuits [PDF]
, 2004 Underdetermined blind source separation is a key application in audio where it is desirable to extract multiple sources from a stereo recording. A new variant on the stereo matching pursuit, the dual matching pursuit, is presented whereby independent ...
Sugden, P, Canagarajah, CN, Sugden, Paul
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Quantum matching pursuit algorithms [PDF]
, 2022 LAUREA MAGISTRALEIl machine learning quantistico è una disciplina emergente che combina i benefici del calcolo quantistico con tecniche di machine learning.
VANERIO, STEFANO
core
Dynamic Orthogonal Matching Pursuit for Sparse Data Reconstruction
IEEE Open Journal of Signal Processing, 2023 The orthogonal matching pursuit (OMP) is one of the mainstream algorithms for sparse data reconstruction or approximation. It acts as a driving force for the development of several other greedy methods for sparse data reconstruction, and it also plays a ...
Yun-Bin Zhao, Zhi-Quan Luo
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