Noise Robust Acoustic Signal Processing Using a Wavelet Packet Decomposition Approach for Detection and Characterization of Laser Induced Breakdown

2017 ◽  
Author(s):  
J. Griffiths ◽  
J. Grebenik ◽  
A. Kirk
Keyword(s):  
Signal Processing ◽  
Acoustic Signal ◽  
Wavelet Packet ◽  
Wavelet Packet Decomposition ◽  
Decomposition Approach ◽  
Laser Induced Breakdown ◽  
Noise Robust

scholarly journals Feature Extraction of Ship Radiation Signals Based on Wavelet Packet Decomposition and Energy Entropy

2022 ◽  
Vol 2022 ◽  
pp. 1-12
Author(s):  
Yuxing Li ◽  
Feiyue Ning ◽  
Xinru Jiang ◽  
Yingmin Yi
Keyword(s):  
Signal Processing ◽  
Feature Extraction ◽  
Nearest Neighbor ◽  
Wavelet Packet ◽  
Recognition Rate ◽  
Center Frequency ◽  
Permutation Entropy ◽  
Wavelet Packet Decomposition ◽  
K Nearest Neighbor ◽  
Energy Entropy

The analysis of ship radiation signals to identify ships is an important research content of underwater acoustic signal processing. The traditional fast Fourier transform (FFT) is not suitable for analyzing non-stationary, non-Gaussian, and nonlinear signal processing. In order to realize the feature extraction and accurate classification of ship radiation signals with higher accuracy, a feature extraction method of ship radiation signals based on wavelet packet decomposition and energy entropy is proposed in this paper. According to wavelet packet decomposition, the ship radiation signal is decomposed into different frequency bands, and its energy entropy feature is extracted. As for comparisons, the center frequency and permutation entropy are also used as features to be extracted, then the k-nearest neighbor is applied to classify and recognize the extracted results. Based on the comparisons of wavelet packet decomposition, the center frequency, permutation entropy, and the k-nearest neighbor are used for classification and recognition. The experimental results present that, when comparing with center frequency and permutation entropy, the method based on energy entropy has the best availability, with the highest average recognition rate for four types of ship radiation signals, up to 98%.

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