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 possible
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/1089
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