Search
Search Results
-
Local Maxima of White Noise Spectrograms and Gaussian Entire Functions
We confirm Flandrin’s prediction for the expected average of local maxima of spectrograms of complex white noise with Gaussian windows (Gaussian...
-
k-Hankel Gabor Transform and Its Applications to the Theory of Localization Operators
We introduce and study the k -Hankel Gabor transform. We investigate the localization operators for this transform. In particular, we study their...
-
Toeplitz operators for Stockwell transform related to the spherical mean operator
In this paper, we define and study the continuous Stockwell transform associated with the spherical mean operator, we prove Plancherel formula,...
-
Identification and Recognition of Bio-acoustic Events in an Ocean Soundscape Data Using Fourier Analysis
Growing research in the design and development of automated systems to identify and recognize bio-acoustic signals is hastily finding significance...
-
An Explained Artificial Intelligence-Based Solution to Identify Depression Severity Symptoms Using Acoustic Features
AbstractThis paper represents our research to (i) propose an artificial intelligence, AI-based solution to identify depression and (ii) investigate...
-
Modeling doppler ultrasound blood flow signals in vessels with various stenosis degrees
The Doppler ultrasound technique is used to detect vascular stenosis as a non-invasive procedure. To look for characteristics of Doppler ultrasound...
-
Method for Reducing the Feature Space Dimension in Speech Emotion Recognition Using Convolutional Neural Networks
AbstractWe consider the architectures of convolutional neural networks used to assess the emotional state of a person by their speech. The problem...
-
Toeplitz Operators Associated with the Deformed Windowed Fourier Transform
This article deals with the study of Toeplitz operators associated with the deformed windowed Fourier transform. The primary aim is to study the...
-
Deep Learning Approach to Classification of Acoustic Signals Using Information Features
Abstract— The problem of binary classification of acoustic signals of biological origin recorded in the real world is considered. Information features...
-
Music Genre Classification Using XGB Boost
It is a scientifically proven fact that music can heal a person. Today, around the world, many individuals are co** with their health issues using...
-
Dynamical Analysis of a 3D Fractional-Order Chaotic System for High-Security Communication and its Electronic Circuit Implementation
This article, a 3D fractional-order chaotic system (FOCS) is designed; system holds Equilibria can take on various shapes and forms by introducing a...
-
Comparative Analysis of Authentication Using Formant Features of Vowels and Consonants
This article discusses 3 different biometric images of the user, which are based on the formant characteristics of the sounds of the Russian...
-
Post-Fourier Frequencies: Variations and Paradoxes
We address two questions related to the notion of frequency and its possible extensions in the case of evolutive situations, some of them leading to...
-
-
Nonnegative Matrix Factorization and Log-Determinant Divergences
Nonnegative matrix factorization (NMF) decomposes any nonnegative matrix into the product of two low dimensional nonnegative matrices. Traditional...
-
Spectral Characteristics of the Integral Operator of the Internal Problem of Electrodynamics for Cylindrical Spiral Structure
AbstractThe article is dedicated to the analysis of electrodynamic properties of the cylindrical spiral structure. Internal problem for the...
-
Comparison of Channel Equalization Schemes for MIMO-OFDM⋆
Inter-symbol interference is a major impediment to wireless communication that significantly lowers the data quality. The fundamental objective of...
-
Personal Identification Based on the Individual Sonographic Properties of the Auricle Using Cepstral Analysis and Bayes Formula
A method of personality recognition by echographic parameters of the human ear is developed based on the naive Bayes classifier in the two following...
-
SRMD: Sparse Random Mode Decomposition
Signal decomposition and multiscale signal analysis provide many useful tools for time-frequency analysis. We proposed a random feature method for...
-
On Accumulated Cohen’s Class Distributions and Mixed-State Localization Operators
Recently we introduced mixed-state localization operators associated with a density operator and a (compact) domain in phase space. We continue the...