ParNes: a rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals.
Ming GuLek-Heng LimCinna Julie WuPublished in: Numer. Algorithms (2013)
Keyphrases
- sparse matrix
- high dimensional
- objective function
- computationally efficient
- np hard
- recovery algorithm
- signal reconstruction
- computational complexity
- sparse linear
- theoretical guarantees
- compressive sensing
- optimization algorithm
- high accuracy
- expectation maximization
- reduced set
- recognition algorithm
- times faster
- provably convergent
- particle swarm optimization
- signal processing
- simulated annealing
- worst case
- probabilistic model
- computational cost
- experimental evaluation
- significant improvement
- search space
- preprocessing
- search algorithm
- detection algorithm
- matching algorithm
- dynamic programming
- cost function
- neural network