Abstract Dispersion Lempel-Ziv complexity (DLZC) has been introduced into the field of
underwater acoustic with great performance, but it only reflects complexity information from …

Permutation Lempel-Ziv complexity (PLZC) is a recently proposed method for analyzing
signal complexity. However, PLZC only characterizes the signal complexity from single scale …

Abstract Dispersion Lempel-Ziv complexity (DLZC) is an effective metric of time series
complexity and is widely used in the underwater acoustic field. However, DLZC is not …

Accurate recognition of ship-radiated noise (SRN) is particularly important for coastal
defense, where feature extraction is the key technology. As a recently proposed nonlinear …

The complexity of maritime noise and the time-variability of hydroacoustic channels make it
more and more difficult to extract feature from ship-radiated noise effectively. To accurately …

To extract more distinguishing features of ships, slope entropy (SloE) is introduced into
underwater acoustic signal processing as a new feature to analyze ship-radiated noise …

In the field of underwater acoustic signal processing, the ship radiated noise contains a
large amount of ship information, which is of great significance to the ship identification. The …

As an important complexity feature of signal, Lempel‐Ziv complexity (LZC) has the
advantage of simple‐to‐calculate, but it ignores amplitude information, and has low …

Due to the complexity and unique features of the hydroacoustic channel, ship-radiated noise
(SRN) detected using a passive sonar tends mostly to distort. SRN feature extraction has …

Feature fusion methods are introduced to ship-radiated noise recognition in this paper.
Wavelet packet (WP) decomposition is used to decompose the ship-radiated noise into …