Reconstruction of block-sparse signals by using an l2/p-regularized least-squares algorithm.
Jeevan K. PantWu-Sheng LuAndreas AntoniouPublished in: ISCAS (2012)
Keyphrases
- regularized least squares
- learning algorithm
- signal reconstruction
- computational complexity
- cost function
- objective function
- similarity measure
- data sets
- total least squares
- expectation maximization
- signal processing
- probabilistic model
- linear programming
- input data
- data points
- em algorithm
- support vector machine svm
- sparse representation
- energy function
- fast fourier transform
- image processing
- relaxation algorithm
- special case