Matching Pursuit (MP)
Fingerprint Compression Based On Online Dictionary Learning and Orthogonal Matching Pursuit
... 3) Comparison between MP and OMP: The OMP we have described is a modification of the Matching Pursuit (MP) algorithm of that improves convergence using an additional orthogonalization step. The advantage of ...
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Multivariate matching pursuit in optimal Gabor dictionaries: theory and software with interface for EEG/MEG via Svarog
... nonlinear matching pursuit remains an open question, in the following sections we relate the maximum error of a single MP iteration to the density of an optimally sampled Gabor dictionary, filled with Gabor ...
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Matching Pursuit for Sparse Signal Reconstruction Based on Dual Thresholds
... Orthogonal Matching Pursuit (OMP) algorithms because of its low ...Threshold Matching Pursuit (DTMP), which select atoms based on two appropriate ...forward-backward pursuit (FBP), DTMP ...
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Filtering of Interferometric SAR Phase Images as a Fuzzy Matching-Pursuit Blind Estimation
... Matching pursuit (MP) is an iterative method to expand a signal by using an overcomplete dictionary of nonorthog- onal functions [27]. Although MP has been recently em- ployed mostly for video coding [28], ...
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Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test
... In this article, we present an approach for VAD based on the conjugate subspace matching pursuit (MP) and the statistical model. Specifically, the MP is carried out in each frame by first selecting the most ...
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Fast sparsity adaptive matching pursuit algorithm for large scale image reconstruction
... In order to break the constraint of signal sparsity on MP algorithms, Dohono et al. [18] proposed a stagewise orthog- onal matching pursuit (StOMP) algorithm. StOMP algo- rithm uses a preset threshold to ...
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Guided Waves Mode Discrimination in Pipes NDT Based on the Matching Pursuit Method
... The Matching Pursuit method (MP) [6] has an advan- tage of decomposing any signal into a linear expansion of waveforms that are selected from a redundant dictionary of functions, and these waveforms are ...
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Orthogonal Matching Pursuit for Text Classification
... vanilla Matching Pursuit (MP) algorithm (Mallat and Zhang, 1993) has its origin in signal processing where it is mainly used in the com- pressed sensing ...
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Time-Frequency Data Reduction for Event Related Potentials: Combining Principal Component Analysis and Matching Pursuit
... used matching pursuit (MP) approach, with a Gabor dictionary, to principal components extracted from the time-frequency ...standard matching pursuit methods using a Gabor dictionary for both ...
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A Matching-Pursuit Based Approach for Detecting and Imaging Breast Cancer Tumor
... the matching- pursuit algorithm (MPA) to the simulation data obtained by the monostatic inverse synthetic aperture radar (ISAR) principle, and the locations of the tumors are determined by considering the ...
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Hybrid Optical Cryptography and Compressive Sensing Based on Orthogonal Matching Pursuit
... Orthogonal Matching Pursuit (OMP) is an iterative method to recover the non-zero elements of a sparse signal from the measured signal. If the length m of the measurement vector is larger than k, the number ...
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Near optimal bound of orthogonal matching pursuit using restricted isometric constant
... orthogonal matching pursuit (OMP) [1], regularized OMP (ROMP) [18], stagewise OMP (DL Donoho, I Drori, Y Tsaig, JL Starck: Sparse solution of underdetermined linear equations by stagewise orthogo- nal ...
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Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit
... The performance of orthogonal matching pursuit (OMP) for variable selection is analyzed for ran- dom designs. When contrasted with the deterministic case, since the performance is here measured after ...
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Estimation of Directions of Arrival by Matching Pursuit (EDAMP)
... We propose a novel system architecture that employs a matching pursuit-based basis selection algorithm for directions of arrival estimation. The proposed system does not require a priori knowledge of the ...
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Cosparsity based Stagewise Matching Pursuit algorithm for reconstruction of the cosparse signals
... In this paper, a new greedy algorithm named Cosparsity-based Stagewise Matching Pursuit (CSMP) is proposed for the case where l is unknown. By analyzing the projection from the signal under consideration to ...
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Noise Removal in Images in the Non Subsampled Contourlet Transform Domain Using Orthogonal Matching Pursuit
... The NSCT detail coefficients resulting from the classified and processed sub images are then taken in sparse form. This is then applied to the Orthogonal Matching Pursuit (OMP) algorithm along with the ...
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Classification of Acoustic Emissions Using Modified Matching Pursuit
... We propose methodologies to automatically classify time-varying warning signals from an acoustic monitoring system that in- dicate the potential catastrophic structural failures of reinforced concrete structures. Since ...
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Hybrid Video Coding Based on Bidimensional Matching Pursuit
... the matching pursuit algorithm which decomposes the signal over an appositely designed bidimensional, anisotropic, redundant ...the matching pursuit ...
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Adaptive matching pursuit with constrained total least squares
... adaptive matching pursuit with constrained total least squares (AMP-CTLS), is proposed to find actual atoms even if they are not included in the initial ...
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An Alternative Scalable Video Coding Scheme Used For Efficient Image Representation In Multimedia Applications
... Basis Pursuit algorithm deeply studied by Donoho et ...the Matching Pursuit (MP) algorithm [12] provides a interesting generic solution to (1) by iteratively decomposing the signal using a greedy ...
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