A time-series processor for sonar mapping and novelty detection

Further studies of extreme learning machine and compressed signal detection

“…Detection theory is fundamental to designing decision making system in signal processing problems. Applications of signal detection include radar signal detection [111], sonar signal processing [112], communication system [113], image processing [114], speech signal detection [115] and many others. Two most frequently used methods in signal detection are the Neyman-Pearson theorem (NP) [67] and the Bayesian approach [12], respectively, where NP detector is more suitable for signal detection in sonar/radar applications while the Bayesian approach is more appropriate for signal detection in communication systems.…”