Noise robust bird call localisation using the generalised cross-correlation with phase transform in the wavelet domain

2019 ◽  
Vol 146 (6) ◽  
pp. 4650-4663 ◽  
Author(s):  
Benjamin Ollivier ◽  
Alexander Pepperell ◽  
Zachary Halstead ◽  
Yusuke Hioka
Keyword(s):  
Cross Correlation ◽  
Wavelet Domain ◽  
Phase Transform ◽  
Bird Call ◽  
Noise Robust

scholarly journals Cross-Correlation Wavelet-Domain-Based Particle Swarm Optimization for Lightning Mapping

2021 ◽  
Vol 11 (18) ◽  
pp. 8634
Author(s):  
Ammar Alammari ◽  
Ammar Ahmed Alkahtani ◽  
Mohd Riduan Ahmad ◽  
Ahmed Aljanad ◽  
Fuad Noman ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Cross Correlation ◽  
Particle Swarm ◽  
Sliding Window ◽  
Event Extraction ◽  
Wavelet Domain ◽  
Estimation Errors ◽  
Swarm Optimization ◽  
Lightning Strikes ◽  
The Real

Several processing methods have been proposed for estimating the real pattern of the temporal location and spatial map of the lightning strikes. However, due to the complexity of lightning signals, providing accurate lightning maps estimation remains a challenging task. This paper presents a cross-correlation wavelet-domain-based particle swarm optimization (CCWD-PSO) technique for an accurate and robust representation of lightning mapping. The CCWD method provides an initial estimate of the lightning map, while the PSO attempts to optimize the trajectory of the lightning map by finding the optimal sliding window of the cross-correlation. The technique was further enhanced through the introduction of a novel lightning event extraction method that enables faster processing of the lightning mapping. The CCWD-PSO method was validated and verified using three narrow bipolar events (NBEs) flashes. The observed results demonstrate that this technique offers high accuracy in representing the real lightning mapping with low estimation errors.

scholarly journals Performance Evaluation of Traditional Signal Processing Methods in Localizing Tursiops truncatus Whistles in a Reverberant Aquatic Environment

2019 ◽  
Author(s):  
SF Woodward ◽  
MO Magnasco
Keyword(s):  
Signal Processing ◽  
Aquatic Environment ◽  
Tursiops Truncatus ◽  
Cross Correlation ◽  
Correlation Method ◽  
Extraction Methods ◽  
Phase Transform ◽  
Atlantic Bottlenose Dolphin ◽  
Signature Whistles ◽  
Signal Processing Methods

AbstractRelative to individually distinctive signature whistles, little is known about the “non-signature” calls – particularly the non-signature whistles – of the common Atlantic bottlenose dolphin, Tursiops truncatus. While such calls are suspected to serve social function, tracking their exchange among conspecifics and correlating their usage with non-acoustic behavior has proven challenging, given both their relative scarcity in the dolphin repertoire and their characteristic shared use among dolphins, which precludes the unique identification of callers on the basis of whistle properties alone. Towards the goal of robustly identifying the callers of non-signature whistles (equivalently, attributing non-signature whistles to callers), we present a new, long-term audiovisual monitoring system designed for and tested at the Dolphin Discovery exhibit of the National Aquarium in Baltimore, Maryland. In this paper, we confirm the system’s ability to spatially localize impulse-like sounds using traditional signal processing approaches that have already been used to localize dolphin echolocation clicks. We go on to provide the first rigorous experimental evaluation of the component time-difference-of-arrival-(TDOA) extraction methods on whistle-like tonal sounds in a (reverberant) aquatic environment, showing that they are generally not suited to sound localization. Nevertheless, we find that TDOA extraction under these circumstances is performed significantly better using a Generalized Cross-Correlation with Phase Transform (GCC-PHAT) method than a standard circular cross-correlation method, a potentially important result.

A Cross-Correlation Method in Wavelet Domain for Demodulation of FBG-FP Static-Strain Sensors

2014 ◽  
Vol 26 (16) ◽  
pp. 1597-1600 ◽  
Author(s):  
Wenzhu Huang ◽  
Wentao Zhang ◽  
Tengkun Zhen ◽  
Fusheng Zhang ◽  
Fang Li
Keyword(s):  
Cross Correlation ◽  
Correlation Method ◽  
Strain Sensors ◽  
Wavelet Domain ◽  
Static Strain
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