Results 11 to 20 of about 19,772 (299)
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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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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Matching Pursuit With Stochastic Selection [PDF]
, 2012 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Peel, Thomas +3 more
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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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Sharp Convergence Rates for Matching Pursuit
IEEE Transactions on Information TheoryWe study the fundamental limits of matching pursuit, or the pure greedy algorithm, for approximating a target function $ f $ by a linear combination $f_n$ of $n$ elements from a dictionary. When the target function is contained in the variation space corresponding to the dictionary, many impressive works over the past few decades have obtained upper ...
Jason M. Klusowski, Jonathan W. Siegel
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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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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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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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