Abstract: A method and a system for robust voice activity detection under adverse environments are provided. The apparatus includes a controller for controlling a signal receiving module, a signal blocking module, a silent/non-silent classification module for discriminating silent blocks by comparing a temporal feature to a threshold, a total variation filtering module for enhancing voiced portions and reducing an effect of background noises, a frame division module for dividing a filtered signal into small frames, a residual processing module for estimating a noise floor, a silent/non-silent frame classification module, a voice/non-voice signal frame classification module based on autocorrelation features of a total variation filtered signal, a binary-flag merging and deletion module, a voice endpoint detection and correction module, and a voice endpoint storing/sending module. A decision-tree is arranged based on time and memory complexity of feature extraction methods.

Abstract: Device and method for multi-level dynamic joint data security and compression are disclosed. The method includes receiving an input signal from a sensor interface, performing encryption on compressive measurement encoded data that is based on the input signal, transmitting the encrypted compressive measurement encoded data through a communication network, performing decryption on the encrypted compressive measurement encoded data after receiving the encrypted compressed measurement encoded data from the communication network to form decrypted compressive measurement decoded data, and reproducing an original signal from the decrypted compressive measurement decoded data that corresponds to the input signal.