Matching Pursuit
Guided Waves Mode Discrimination in Pipes NDT Based on the Matching Pursuit Method
... Chirplet matching pursuit can extract the guided waves echo signal, and the results shows some informa- tion of guided waves such as the signals center frequency, arrival time, time spread and ...
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Time-Frequency Data Reduction for Event Related Potentials: Combining Principal Component Analysis and Matching Pursuit
... as matching pursuit and basis pursuit aim to find a “best” fit to the given signal in terms of the elements of a redundant family of functions, called the dictionary [12, ...
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Matching Pursuit for Sparse Signal Reconstruction Based on Dual Thresholds
... This paper presents a new adaptive forward-back greedy algorithm calledDual Threshold Matching Pursuit. Simulation results show that for a Gaussian signal, DTMP reconstruction accuracy is better than all ...
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Hybrid Optical Cryptography and Compressive Sensing Based on Orthogonal Matching Pursuit
... orthogonal matching pursuit (OMP) is proposed as an alternative solution to the two important problems in communications, namely, effective / efficient / signal processing and secure ...
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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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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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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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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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Near optimal bound of orthogonal matching pursuit using restricted isometric constant
... As a paradigm for reconstructing sparse signals using a set of under sampled measurements, compressed sensing has received much attention in recent years. In identifying the sufficient condition under which the perfect ...
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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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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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Orthogonal Matching Pursuit for Text Classification
... In text classification, the problem of overfitting arises due to the high dimensionality, mak- ing regularization essential. Although clas- sic regularizers provide sparsity, they fail to return highly accurate models. ...
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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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Fast sparsity adaptive matching pursuit algorithm for large scale image reconstruction
... To extend the application of the CS theory to large- scale image signal processes, we focus on improving the reconstruction efficiency of the SAMP algorithm. In the SAMP algorithm, a high reconstruction accuracy is ob- ...
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Estimation of Directions of Arrival by Matching Pursuit (EDAMP)
... In DOA estimation, typically only a small number of di- rections contain the signal. Hence, the solution to the DOA estimation problem will be sparse. In this paper, we pro- pose to use the FTB-OMP algorithm for DOA ...
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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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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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An Alternative Scalable Video Coding Scheme Used For Efficient Image Representation In Multimedia Applications
... The Matching Pursuit encoder iteratively selects the 3-D atoms from the dictionary that best match the residual GOP signal, in terms of the energy of the correlation coefficients, following ...
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