Modelling Spread-Spectrum Modulation with Adaptive Filtering
1. Introduction
Engineers responsible for biomedical instrumentation frequently encounter spread-spectrum modulation without adequate design guidance. The spatial and temporal variation of the relevant quantities is resolved through adaptive filtering. The results demonstrate that spread-spectrum modulation can be predicted reliably once local calibration data are available. The evidence assembled here supports a more systematic treatment of the problem in practice.
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2. Materials and Methods
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3. Results and Discussion
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4. Conclusion
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