Efficient OMP and K-SVD implementation



We have discussed efficient OMP and K-SVD implementations which vastly improve over the straightforward ones. The Batch-OMP method is useful for a wide range of sparsity-based techniques which require large sets of signals to be coded. The Approximate K-SVD implementation, which employs Batch-OMP as its sparse-coding method, also improves on the dictionary update step by using a significantly faster and more memory efficient atom update computation.


Basis rotation algorithm for approximating the maximum likelihood filters in natural images

sparse recovery algorithm for 3D-localization microscopy


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SKU: P2018F221 Category: