Dynamic Orthogonal Matching Pursuit for Sparse Data Reconstruction [PDF]
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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RobOMP: Robust variants of Orthogonal Matching Pursuit for sparse representations [PDF]
PeerJ Computer Science, 2019 Sparse coding aims to find a parsimonious representation of an example given an observation matrix or dictionary. In this regard, Orthogonal Matching Pursuit (OMP) provides an intuitive, simple and fast approximation of the optimal solution. However, its
Carlos A. Loza
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A Sharp RIP Condition for Orthogonal Matching Pursuit [PDF]
Abstract and Applied Analysis, 2013 A restricted isometry property (RIP) condition δK+KθK ...
Wei Dan
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BSA-OMP: Beam-Split-Aware Orthogonal Matching Pursuit for THz Channel Estimation [PDF]
IEEE Wireless Communications Letters, 2023 Terahertz (THz)-band has been envisioned for the sixth generation wireless networks thanks to its ultra-wide bandwidth and very narrow beamwidth. Nevertheless, THz-band transmission faces several unique challenges, one of which is beam-split which occurs
Ahmet M. Elbir, S. Chatzinotas
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NBA-OMP: Near-Field Beam-Split-Aware Orthogonal Matching Pursuit for Wideband THz Channel Estimation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 The sixth-generation networks envision the terahertz (THz) band as one of the key enabling technologies because of its ultrawide bandwidth. To combat the severe attenuation, the THz wireless systems employ large arrays, wherein the near-field beam-split (
Ahmet M. Elbir +2 more
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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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Compressive Spectrum Sensing Using Sampling-Controlled Block Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Communications, 2022 This paper proposes two novel schemes of wideband compressive spectrum sensing (CSS) via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing accuracy in real time.
Liyang Lu, Wenbo Xu, Yue Wang, Zhi Tian
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Low complexity joint position and channel estimation at millimeter wave based on multidimensional orthogonal matching pursuit [PDF]
European Signal Processing Conference, 2022 Compressive approaches provide a means of obtaining high resolution channel estimates in millimeter wave MIMO systems, despite the use of analog and hybrid architectures.
J. Palacios +2 more
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Generalized Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Signal Processing, 2012 As a greedy algorithm to recover sparse signals from compressed measurements, orthogonal matching pursuit (OMP) algorithm has received much attention in recent years. In this paper, we introduce an extension of the OMP for pursuing efficiency in reconstructing sparse signals.
Wang, Jian +2 more
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Multidimensional Orthogonal Matching Pursuit-based RIS-aided Joint Localization and Channel Estimation at mmWave [PDF]
International Workshop on Signal Processing Advances in Wireless Communications, 2022 RIS-aided millimeter wave wireless systems benefit from robustness to blockage and enhanced coverage. In this paper, we study the ability of RIS to also provide enhanced localization capabilities as a by-product of communication.
Murat Bayraktar +3 more
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