Dictionary learning algorithms for sparse representation
Neural Computation
Estimation of directions of arrival by matching pursuit (EDAMP)
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Sparse audio representations using the MCLT
Signal Processing - Sparse approximations in signal and image processing
A simple test to check the optimality of a sparse signal approximation
Signal Processing - Sparse approximations in signal and image processing
On the stability of the basis pursuit in the presence of noise
Signal Processing - Sparse approximations in signal and image processing
Fast estimation of optimal sparseness of music signals
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Digital Signal Processing
Denoising by sparse approximation: error bounds based on rate-distortion theory
EURASIP Journal on Applied Signal Processing
Sparse representations are most likely to be the sparsest possible
EURASIP Journal on Applied Signal Processing
A bilinear formulation for vector sparsity optimization
Signal Processing
Compression of facial images using the K-SVD algorithm
Journal of Visual Communication and Image Representation
CG-M-FOCUSS and Its Application to Distributed Compressed Sensing
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
K-hyperline clustering learning for sparse component analysis
Signal Processing
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Near-optimal Bayesian localization via incoherence and sparsity
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Gaussian source model based iterative algorithm for EEG source imaging
Computers in Biology and Medicine
A fast approach for overcomplete sparse decomposition based on smoothed l0 norm
IEEE Transactions on Signal Processing
Improved FOCUSS method with conjugate gradient iterations
IEEE Transactions on Signal Processing
Sparse reconstruction by separable approximation
IEEE Transactions on Signal Processing
Underdetermined blind source separation based on subspace representation
IEEE Transactions on Signal Processing
On the reconstruction of block-sparse signals with an optimal number of measurements
IEEE Transactions on Signal Processing
IEEE Transactions on Image Processing
Geometric video approximation using weighted matching pursuit
IEEE Transactions on Image Processing
Further results on stable recovery of sparse overcomplete representations in the presence of noise
IEEE Transactions on Information Theory
Sampling theorems for signals from the union of finite-dimensional linear subspaces
IEEE Transactions on Information Theory
Restricted isometry constants where lpsparse recovery can fail for 0
IEEE Transactions on Information Theory
A sparsity constrained inverse problem to locate people in a network of cameras
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
An iterative Bayesian algorithm for sparse component analysis in presence of noise
IEEE Transactions on Signal Processing
Parametric dictionary design for sparse coding
IEEE Transactions on Signal Processing
Music scene-adaptive harmonic dictionary for unsupervised note-event detection
IEEE Transactions on Audio, Speech, and Language Processing
Double sparsity: learning sparse dictionaries for sparse signal approximation
IEEE Transactions on Signal Processing
Direction finding of multiple emitters by spatial sparsity and linear programming
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Performance analysis of support recovery with joint sparsity constraints
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Bayesian compressive sensing via belief propagation
IEEE Transactions on Signal Processing
Bayesian orthogonal component analysis for sparse representation
IEEE Transactions on Signal Processing
Variance-component based sparse signal reconstruction and model selection
IEEE Transactions on Signal Processing
Proceedings of the 47th Design Automation Conference
Source localization using a sparse representation framework to achieve superresolution
Multidimensional Systems and Signal Processing
Minimizing nonconvex functions for sparse vector reconstruction
IEEE Transactions on Signal Processing
Direction-of-arrival estimation using a mixed l2,0norm approximation
IEEE Transactions on Signal Processing
On the stable recovery of the sparsest overcomplete representations in presence of noise
IEEE Transactions on Signal Processing
Performance analysis for sparse support recovery
IEEE Transactions on Information Theory
Computationally efficient sparse Bayesian learning via belief propagation
IEEE Transactions on Signal Processing
Recursive least squares dictionary learning algorithm
IEEE Transactions on Signal Processing
An improved smoothed l0approximation algorithm for sparse representation
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
Decomposition of EEG signals for multichannel neural activity analysis in animal experiments
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Two-dimensional random projection
Signal Processing
SIAM Journal on Scientific Computing
Direct data domain STAP using sparse representation of clutter spectrum
Signal Processing
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation
The Journal of Machine Learning Research
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision
Sparse representation of deformable 3D organs with spherical harmonics and structured dictionary
Journal of Biomedical Imaging - Special issue on Machine Learning in Medical Imaging
A novel predual dictionary learning algorithm
Journal of Visual Communication and Image Representation
Error bounds for convex parameter estimation
Signal Processing
Proceedings of the International Conference on Computer-Aided Design
In-situ soil moisture sensing: measurement scheduling and estimation using compressive sensing
Proceedings of the 11th international conference on Information Processing in Sensor Networks
An augmented Lagrangian approach to general dictionary learning for image denoising
Journal of Visual Communication and Image Representation
SAR image reconstruction and autofocus by compressed sensing
Digital Signal Processing
BTF compression via sparse tensor decomposition
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
Dictionary based sparse representation for domain adaptation
Proceedings of the 21st ACM international conference on Information and knowledge management
Localization of sparse transmural excitation stimuli from surface mapping
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Multi-resolutive sparse approximations of d-dimensional data
Computer Vision and Image Understanding
A fast algorithm for nonconvex approaches to sparse recovery problems
Signal Processing
Document noise removal using sparse representations over learned dictionary
Proceedings of the 2013 ACM symposium on Document engineering
A comparison of typical ℓp minimization algorithms
Neurocomputing
SR-NBS: A fast sparse representation based N-best class selector for robust phoneme classification
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Non-negative sparse decomposition based on constrained smoothed ℓ0 norm
Signal Processing
| Hi-index | 35.98 |
We present a nonparametric algorithm for finding localized energy solutions from limited data. The problem we address is underdetermined, and no prior knowledge of the shape of the region on which the solution is nonzero is assumed. Termed the FOcal Underdetermined System Solver (FOCUSS), the algorithm has two integral parts: a low-resolution initial estimate of the real signal and the iteration process that refines the initial estimate to the final localized energy solution. The iterations are based on weighted norm minimization of the dependent variable with the weights being a function of the preceding iterative solutions. The algorithm is presented as a general estimation tool usable across different applications. A detailed analysis laying the theoretical foundation for the algorithm is given and includes proofs of global and local convergence and a derivation of the rate of convergence. A view of the algorithm as a novel optimization method which combines desirable characteristics of both classical optimization and learning-based algorithms is provided. Mathematical results on conditions for uniqueness of sparse solutions are also given. Applications of the algorithm are illustrated on problems in direction-of-arrival (DOA) estimation and neuromagnetic imaging