Adaptive Filtering for Seismic Signal Detection. Part 1.
SOUTHEASTERN MASSACHUSETTS UNIV NORTH DARTMOUTH DEPT OF ELECTRICAL ENGINEERING
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This project is concerned with the adaptive digital processing to remove or reduce noisy signals generated by sensors at large distance away from the sensors. The noisy signals need to be removed because only those signals near the sensors are of interest for detection. The signals to be detected may correspond to footsteps of a walking man. Two classes of digital processing techniques are considered namely the adaptive Kalman filtering and the adaptive digital filtering.
- Seismic Detection and Detectors