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Structured orthogonal matching pursuit for feature selection
Neurocomputing, 2019Abstract Feature selection techniques are widely adopted to deal with high-dimensional data. One of the most popular algorithms is orthogonal matching pursuit (OMP). OMP tends to select only one from correlated features, because the next selected feature relies on a residual that is orthogonal to previous selected features.
Xiaoshuang Shi +5 more
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Orthogonal Matching Pursuit Algorithm Via Improved Matching Criterion
Proceedings of the 2nd International Conference on Digital Signal Processing, 2018Better support set Selected is the key step in Compressed Sensing to improve the reconstruction effect. The inner product matching criterion adopted in orthogonal matching pursuit algorithm fails to fully consider the correlation between the residuals and the atoms, which leads to greater error in the reconstruction process.
Jianhong Xiang, HuiHui Yue, Xiangjun Yin
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Orthogonal Matching Pursuit for ferromagnetic target localization and identification
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012The use of magnetic sensors in wireless sensor networks is a topic that has gained limited attention in comparison to that of other sensors. Research has generally focused on the detection of large ferromagnetic targets (e.g., cars and airplanes). Moreover, the changes in the magnetic field intensity measured by the sensor have been used to obtain ...
Sajjad Baghaee +2 more
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REMARKS ABOUT ORTHOGONAL MATCHING PURSUIT ALGORITHMS
Advances in Adaptive Data Analysis, 2012The orthogonal matching pursuit (OMP) is a popular decoder to recover sparse signal in compressed sensing. Our aim is to investigate the theoretical properties of OMP. In particular, we show that the OMP decoder can give (p, q) instance optimality for a large class of encoders with 1 ≤ p ≤ q ≤ 2 and (p, q) ≠ (2, 2).
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System Identification by Matching Pursuit and Orthogonal Matching Pursuit
2022 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), 2022openaire +1 more source
Efficient Implementations for Orthogonal Matching Pursuit
Electronics (Switzerland), 2020Hufei Zhu, Yanpeng Wu, Wen Chen
exaly
Kernels for Incoherent Projection and Orthogonal Matching Pursuit
2022Himanshu Kandiyal, C. S. Sastry 0001
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Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
IEEE Transactions on Information Theory, 2007Joel Tropp, Anna C Gilbert
exaly
A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers
IEEE Microwave and Wireless Components Letters, 2018Maria José Madero-Ayora +2 more
exaly
Signal Recovery from Random Measurements via Extended Orthogonal Matching Pursuit
IEEE Transactions on Signal Processing, 2015Anamitra Makur, Sujit Sahoo
exaly