Results 11 to 20 of about 206,616 (184)
Oblique Matching Pursuit [PDF]
IEEE Signal Processing Letters, 2007 Last version- as it will appear in IEEE SPL. IEEE Signal Processing Letters (in press)
Rebollo-Neira, Laura
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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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Revisiting matching pursuit: Beyond approximate submodularity
Signal Processing, 2023 We study the problem of selecting a subset of vectors from a large set, to obtain the best signal representation over a family of functions. Although greedy methods have been widely used for tackling this problem and many of those have been analyzed under the lens of (weak) submodularity, none of these algorithms are explicitly devised using such a ...
Tohidi, Ehsan +2 more
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Multipath Matching Pursuit [PDF]
IEEE Transactions on Information Theory, 2014 In this paper, we propose an algorithm referred to as multipath matching pursuit (MMP) 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 ...
null Suhyuk Kwon +2 more
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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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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
Gurbuz, Ali Cafer +2 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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Mptk: Matching Pursuit Made Tractable [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 Matching Pursuit (MP) aims at finding sparse decompositions of signals over redundant bases of elementary waveforms. Traditionally, MP has been considered too slow an algorithm to be applied to real-life problems with high-dimensional signals. Indeed, in terms of floating points operations, its typical numerical implementations have a complexity of O(N^
Krstulovic, Sacha, Gribonval, Rémi
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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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