Neural Network Based Lossless And Quality Controlled Schemes With Error Modeling For The Compression Of Electroencephalography (EEG) Signal
In this work, neural network based lossless and quality controlled compression schemes with error modeling are proposed for the EEG signal. The lossless algorithms presented in this work make use of both single-stage and two-stage compression methods.
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| Format: | Thesis |
| Published: |
2007
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