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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kavitha, V. Narayana Dutt, D. |
| Copyright Year | 1997 |
| Description | Author affiliation: Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India (Kavitha, V.) |
| Abstract | A method based on chaotic modeling for compression and transmission of EEG data is presented. It is assumed that the data to be transmitted is chaotic and is generated by an E-dimensional nonlinear system. The flow in the E-dimensional space is obtained from the one dimensional time series using the process of time delay embedding. Then a simple, linear model is fitted for this flow in the E-dimensional space and this model is used as a predictor in the general DPCM scheme for transmission. Since this model was able to give very good one-step prediction, we were able to achieve a reduction of about 50 percent of the dynamic range of the signal to be transmitted (and hence a reduction in bit rate also). A further advantage is that this is achieved with the additional feature of reduced complexity when compared to the conventionally used AR model. |
| Starting Page | 1262 |
| Ending Page | 1265 |
| File Size | 258547 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780336763 |
| DOI | 10.1109/ICICS.1997.652189 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-09-12 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chaos Brain modeling Electroencephalography Predictive models Chaotic communication Delay effects Bit rate Bandwidth Data engineering Nonlinear systems |
| Content Type | Text |
| Resource Type | Article |
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