SIGNAL CODING WITH ADAPTIVE NEURAL NETWORK
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United States of America Patent
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Issued Date -
Jan 26, 2012
app pub date -
Jul 22, 2011
filing date -
Jul 22, 2010
priority date (Note) -
Abandoned
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Abstract
The invention relates to sparse parallel signal coding using a neural network which parameters are adaptively determined in dependence on a pre-determined signal shaping characteristic. A signal is provides to a neural network encoder implementing a locally competitive algorithm for sparsely representing the signal. A plurality of interconnected nodes receive projections of the input signal, and each node generates an output once an internal potential thereof exceeds a node-dependent threshold value. The node-dependent threshold value for each of the nodes is set based upon the pre-determined shaping characteristic. In one embodiment, the invention enables to incorporate perceptual auditory masking in the sparse parallel coding of audio signals.
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