The approach is to use a combination of image classification and localisation on the spectrogram data generated by the VLF receivers to identify and localise each whistler.
Neuroethology has been an active field of study for more than a century now.
Humans are expert in the amount of sensory data they deal with each moment.
Non-optical remote-sensed images are going to be used more often in man- aging disaster, crime and precision agriculture.
In this paper we present a new scheme for instrumentation, which has been inspired by the way small mammals sense their environment.
In the scope of the two-objective optimization, we first address PMEPR and peak-to-sidelobe level ratio (PSLR) and show that our approach based on the non-dominated sorting genetic algorithm-II (NSGA-II) provides design solutions with noticeable improvements as opposed to random sets of phase codes.
In this paper, we present our investigations on the use of single objective and multiobjective genetic algorithms based optimisation algorithms to improve the design of OFDM pulses for radar.
Our contribution in this paper is an improvement upon this iterative algorithms in terms of their respective performance metrics and robustness.