Adaptive Filtering for Seismic Signal Detection. Part 1.

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 11, 1979
Accession Number
ADA156755

Entities

People

  • Chia‐Hung Chen

Organizations

  • University of Massachusetts Dartmouth

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Background Noise
  • Change Detection
  • Computer Programs
  • Computers
  • Detection
  • Detectors
  • Digital Filters
  • Electrical Engineering
  • Filters
  • Filtration
  • Kalman Filtering
  • Kalman Filters
  • Noise
  • Noise Reduction
  • Pattern Recognition
  • Signal Detection
  • Software Development

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Robotics and Automation.