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A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed $\ell ^{0}$ Norm
TLDR
In this paper, a fast algorithm for overcomplete sparse decomposition, called SL0, is proposed. Expand
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Image Restoration Using Gaussian Mixture Models With Spatially Constrained Patch Clustering
TLDR
In this paper, we address the problem of recovering degraded images using multivariate Gaussian mixture model (GMM) as a prior. Expand
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Sparse decomposition of two dimensional signals
TLDR
In this paper, we consider sparse decomposition (SD) of two-dimensional (2D) signals on overcomplete dictionaries with separable atoms. Expand
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Fast Sparse Representation Based on Smoothed l0 Norm
TLDR
In this paper, a new algorithm for Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented. Expand
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Filtering noisy ECG signals using the extended kalman filter based on a modified dynamic ECG model
TLDR
In this paper an extended Kalman filter (EKF) has been proposed for the filtering of noisy ECG signals. Expand
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Recovery of Low-Rank Matrices Under Affine Constraints via a Smoothed Rank Function
TLDR
We propose an algorithm based on a smooth approximation of the rank function, which practically improves recovery limits on the rank of the solution. Expand
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Dictionary Learning for Sparse Representation: A Novel Approach
TLDR
A dictionary learning problem is a matrix factorization in which the goal is to factorize a training data matrix, Y, as the product of a dictionary, D, and a sparse coefficient matrix, X, as follows, Y ≃ DX. Expand
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Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering
TLDR
We proposed a new algorithm for estimating the mixing matrix A, which does not require the restriction of single dominant source at each instant. Expand
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Compressive detection of sparse signals in additive white Gaussian noise without signal reconstruction
TLDR
This paper addresses the case in which the processing task is "detection" (the existence) of a sparse signal in additive white Gaussian noise, with applications e.g. in radar systems. Expand
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Complex-valued sparse representation based on smoothed ℓ0 norm
TLDR
In this paper we present an algorithm for complex-valued sparse representation based on smoothed lscrdeg- norm. Expand
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