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Matching pursuits with time-frequency dictionaries
Article
Article
Stéphane Mallat; Zhifeng Zhang · IEEE Transactions on Signal Processing · 1993
The authors introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that are selected from a redundant dictionary of functions. These waveforms are chosen in order...
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$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
Article
Article
Michal Aharon; Michael Elad; Alfred M. Bruckstein⋆ · IEEE Transactions on Signal Processing · 2006
In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinatio...
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Bidirectional recurrent neural networks
Article
Article
Mike Schuster; Kuldip K. Paliwal · IEEE Transactions on Signal Processing · 1997
In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network (BRNN). The BRNN can be trained without the limitation of using input information just up ...
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