Wind‐robust sound event detection and denoising for bioacoustics
J Juodakis, S Marsland - Methods in Ecology and Evolution, 2022 - Wiley Online Library
Sound recordings are used in various ecological studies, including wildlife monitoring by
acoustic surveys. Such surveys often require automatic detection of target sound events in …
acoustic surveys. Such surveys often require automatic detection of target sound events in …
Robust estimation of noise standard deviation in presence of signals with unknown distributions and occurrences
D Pastor, FX Socheleau - IEEE transactions on Signal …, 2012 - ieeexplore.ieee.org
In many applications, d-dimensional observations result from the random presence or
absence of random signals in independent and additive white Gaussian noise. An estimate …
absence of random signals in independent and additive white Gaussian noise. An estimate …
[HTML][HTML] A wavelet packet transform and convolutional neural network method based ultrasonic detection signals recognition of concrete
J Zhao, T Hu, Q Zhang - Sensors, 2022 - mdpi.com
This paper proposes a new intelligent recognition method for concrete ultrasonic detection
based on wavelet packet transform and a convolutional neural network (CNN). To validate …
based on wavelet packet transform and a convolutional neural network (CNN). To validate …
Wavelet packets of nonstationary random processes: Contributing factors for stationarity and decorrelation
AM Atto, Y Berthoumieu - IEEE Transactions on Information …, 2011 - ieeexplore.ieee.org
The paper addresses the analysis and interpretation of second order random processes by
using the wavelet packet transform. It is shown that statistical properties of the wavelet …
using the wavelet packet transform. It is shown that statistical properties of the wavelet …
Wavelet packets of fractional brownian motion: Asymptotic analysis and spectrum estimation
This paper provides asymptotic properties of the autocorrelation functions of the wavelet
packet coefficients of a fractional Brownian motion. It also discusses the convergence speed …
packet coefficients of a fractional Brownian motion. It also discusses the convergence speed …
Local probability distribution of natural signals in sparse domains
In this paper, we investigate the local PDF of natural signals in sparse domains. The
statistical properties of natural signals are characterized more accurately in the sparse …
statistical properties of natural signals are characterized more accurately in the sparse …
[HTML][HTML] An uncertainty-based distributed fault detection mechanism for wireless sensor networks
Y Yang, Z Gao, H Zhou, X Qiu - Sensors, 2014 - mdpi.com
Exchanging too many messages for fault detection will cause not only a degradation of the
network quality of service, but also represents a huge burden on the limited energy of …
network quality of service, but also represents a huge burden on the limited energy of …
How to perform texture recognition from stochastic modeling in the wavelet domain
AM Atto, Y Berthoumieu - 2011 IEEE International Conference …, 2011 - ieeexplore.ieee.org
The paper addresses content-based image retrieval from texture data bases, by using
stochastic modeling in the wavelet domain. It pro poses an analysis of the key parameters …
stochastic modeling in the wavelet domain. It pro poses an analysis of the key parameters …
[图书][B] Deep Convolutional Neural HyperSpaces and Deep Functional Analysis
AM Atto - 2023 - books.google.com
This book proposes a transverse mathematical perspective of deep machine learning in
artificial intelligence, and to do so, it develops a framework of generalized transformations …
artificial intelligence, and to do so, it develops a framework of generalized transformations …
Gaussian Approximation for the Moving Averaged Modulus Wavelet Transform and its Variants
GR Liu, YC Sheu, HT Wu - arXiv preprint arXiv:2301.01540, 2023 - arxiv.org
The moving average of the complex modulus of the analytic wavelet transform provides a
robust time-scale representation for signals to small time shifts and deformation. In this work …
robust time-scale representation for signals to small time shifts and deformation. In this work …