In this paper a lossless and lossy Neural Compressor for electroencephalographic (EEG) signals is presented and compared with statistical and spectral techniques. The system is integrated on a board comprising a dedicated Neural Chip and is trained using a novel VLSI-friendly algorithm (RTS). The compression factors obtainable (50%-80%) make the on-line transmission of real EEG signals possible
Neural Compression: an Integrated Application to EEG Signals
Tonella, Paolo;
1995-01-01
Abstract
In this paper a lossless and lossy Neural Compressor for electroencephalographic (EEG) signals is presented and compared with statistical and spectral techniques. The system is integrated on a board comprising a dedicated Neural Chip and is trained using a novel VLSI-friendly algorithm (RTS). The compression factors obtainable (50%-80%) make the on-line transmission of real EEG signals possibleFile in questo prodotto:
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