Results 21 to 30 of about 206,616 (184)
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 ...
Canagarajah, CN, Sugden, Paul
core +2 more sources
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
doaj +1 more source
Multiple Candidate Matching Pursuit [PDF]
Journal of Broadcast Engineering, 2012 As a greedy algorithm reconstructing the sparse signal from underdetermined system, orthogonal matching pursuit (OMP) algorithm has received much attention. In this paper, we multiple candidate matching pursuit (MuCaMP), which builds up candidate support set in every iteration and uses the minimum residual at last iteration.
Seokbeop Kwon, Byonghyo Shim
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Image retrieval with hierarchical matching pursuit [PDF]
, 2014 A novel representation of images for image retrieval is introduced in this paper, by using a new type of feature with remarkable discriminative power. Despite the multi-scale nature of objects, most existing models perform feature extraction on a fixed ...
Bu, Shasha, Zhang, Yu-Jin
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Orthogonal Matching Pursuit: A Brownian Motion Analysis [PDF]
, 2011 A well-known analysis of Tropp and Gilbert shows that orthogonal matching pursuit (OMP) can recover a k-sparse n-dimensional real vector from 4 k log(n) noise-free linear measurements obtained through a random Gaussian measurement matrix with a ...
Fletcher, Alyson K., Rangan, Sundeep
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Sparse Representation of Astronomical Images [PDF]
, 2012 Sparse representation of astronomical images is discussed. It is shown that a significant gain in sparsity is achieved when particular mixed dictionaries are used for approximating these types of images with greedy selection strategies.
Andrle +22 more
core +3 more sources
Journal of Low Frequency Noise, Vibration and Active Control, 2021 This paper proposes a direction of arrival estimation based on sparse signal reconstruction in the presence of alpha noise by the off-grid orthogonal matching pursuit algorithm.
LongKai Liang +3 more
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Audio Matching Pursuit Algorithm Based on Atomic Preselection [PDF]
Jisuanji gongcheng, 2016 The Matching Pursuit(MP) is a sparse expression greedy algorithm which is applied to signal processing.Its computation complexity is high due to traversalmatching in atom selection,and the matching process has to know the complete signal needed to be ...
HU Xia,YANG Yuhong,JIANG Lin
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Sequential Sparse Matching Pursuit [PDF]
2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2009 We propose a new algorithm, called Sequential Sparse Matching Pursuit (SSMP), for solving sparse recovery problems. The algorithm provably recovers a k-sparse approximation to an arbitrary n-dimensional signal vector x from only O(k log(n/k)) linear measurements of x. The recovery process takes time that is only near-linear in n.
Berinde, Radu, Indyk, Piotr
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A Novel Tempogram Generating Algorithm Based on Matching Pursuit
Applied Sciences, 2018 Tempogram is one of the most useful representations for tempo, which has many applications, such as music tempo estimation, music structure analysis, music classification, and beat tracking.
Wenming Gui +5 more
doaj +1 more source