Computational intelligence PC tools
Computational intelligence PC tools
Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
A Particle Swarm Algorithm for Multiobjective Design Optimization
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
Computational Intelligence: Concepts to Implementations
Computational Intelligence: Concepts to Implementations
Study on huber fractal image compression
IEEE Transactions on Image Processing
IEEE Transactions on Signal Processing - Part II
Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Information Theory
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
IEEE Transactions on Information Theory
| Hi-index | 0.00 |
We present an application of particle swarm techniques to the problem of sparse signal recovery. Although a direct application of particle swarm is straightforward, specifics of the signal recovery problem can be incorporated into particle behavior in a way that substantially improves the quality of the recovered signal. With encouraging results for synthetic signals, we apply this technique to the problem of image compression, where typical image blocks can be expected to exhibit many very small elements under a transformation like the DCT. In this application, we observe that better results are obtained by first forcing image blocks to be sparse rather than compressively sampling blocks that are approximately sparse.