Signal Processing

Our areas of competency in Signal Processing include

  • Detection and Classification for Passive and Active Sonar Systems
  • Perceptual and Cognitive Signal Processing for Pattern Recognition
  • Supervised, Unsupervised, Semi-supervised, Active and On-Line Learning
  • Model-Based and Physics-Based Signal-Processing Techniques

ARiA recognizes that “the best pattern recognition system that we know of is our auditory system” and has developed biomimetic signal-processing algorithms for detection and classification and machine-learning algorithms that learn from listeners how to best classify and identify complex signals. We also recognize that physics-based approaches can give unique insight to complex problems of detection and classification. At the same time, we create models that are data-driven and learn from the data themselves in order to avoid errors and brittleness that can arise from model-data mismatches.