ACTIVE SONAR TARGET CLASSIFICATION WITH POWER-NORMALIZED CEPSTRAL COEFFICIENTS AND CONVOLUTIONAL NEURAL NETWORK

Detection and classification of unidentified underwater targets maneuvering in complex underwater environments are critical for active sonar systems.In previous studies, many detection methods were applied peperomia double duty to separate targets from the clutter using signals that exceed a preset threshold determined by the sonar console operator

Selective forwarding attack in wireless sensor networks shows great impact on network performance and consumes limited energy resource.In previous countermeasures, it is assumed that all nodes in the kaiser copy stands communication range can detect misbehaviors of the attacker.However, as wireless devices require certain signal-to-noise ratio to r