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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rozell, C.J. Goodman, I.N. Johnson, D.H. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX (Rozell, C.J.; Goodman, I.N.; Johnson, D.H.) |
| Abstract | We present a simple but general model for feature-based information processing with selective attention. We model feature extraction as projections onto frames of subspaces, which accounts for redundancies in the representations of individual features as well as between features. To manage limited resources, we use feedback attentional signals to dynamically allocate system resources according to the observed events. In our model, attention maximizes the average information retained about all events weighted by their relative priorities. We illustrate the model with a simple system under a total bit constraint and discuss how the organization of the feature extraction affects the optimal bit allocation |
| Sponsorship | The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS) |
| File Size | 236591 |
| File Format | |
| ISBN | 142440469X |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2006.1661067 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-14 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information processing Signal processing Feature extraction Biosensors Resource management Signal resolution Bit rate Distributed processing Bandwidth Matched filters |
| Content Type | Text |
| Resource Type | Article |
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