Description

Perform acoustic signal detection and improved phase picking of transient wave arrivals of a low amplitude. Here Wavelet transform-based algorithm proposed which is based on the wavelet theory. The proposed method, perform phase picking efficiently even the signals with very low signal to noise ratio. Initially optimize the block size based on the rise time. Then proposed block-thresholding scheme with adapted block length. Estimate the probability of signal presence (PoP) and time of arrival based on PoP analysis. These techniques are shown to provide high signal to noise ratio, good signal discernment from very close echoes and accurate detection of signal arrival time. The proposed methodology has been tested on real data collected in environments and conditions where its benefits can be shown. Acoustic signal detection has become an object of interest due to its utility and applicability in fields such as particle detection, underwater communication and medical issues. The probability that a given coefficient contains a significant noise component. All the probabilities are estimated assuming a generalized Laplacian prior for noise-free subband data and additive white Gaussian noise. Time of arrival (TOA) is the travel time of a radio signal from a single transmitter to a remote single receiver. Time of arrival uses the absolute time of arrival at a certain base station rather than the measured time difference between departing from one and arriving at the other station. The distance can be directly calculated from the time of arrival as signals travel with a known velocity.