Modelling Spread-Spectrum Modulation with Adaptive Filtering
Meena Desai
Corresponding
Bangladesh Agricultural University
Abstract
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.
Keywords:
spread-spectrum modulationadaptive filteringinternal combustion enginepattern recognitionspeech recognitionphotovoltaic system
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