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السجلات المعروضة 1 -- 20 من 36
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A Neural Field Theory for Loss of Consciousness: Synaptic Drive Dynamics, System Stability, Attractors, Partial Synchronization, and Hopf Bifurcations Characterizing the Anesthetic Cascade
( Elsevier Inc. , 2016 , Book chapter)With the advances in biochemistry, molecular biology, and neurochemistry there has been impressive progress in understanding the molecular properties of anesthetic agents. However, there has been little focus on how the ... -
A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
( Elsevier Inc. , 2014 , Article)This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn ... -
A robust high-resolution time-frequency representation based on the local optimization of the short-time fractional Fourier transform
( Elsevier Inc. , 2017 , Article)The Locally Optimized Spectrogram (LOS) defines a novel method for obtaining a high-resolution time-frequency (t,f) representation based on the short-time fractional Fourier transform (STFrFT). The key novelty of the LOS ... -
Advanced design and specifications of TFDs
( Elsevier Inc. , 2016 , Book chapter)This chapter describes specific examples of design of time-frequency distributions (TFDs), as a complement to the material described in Chapters 2 and Section 3.1. This key time-frequency (t,f) topic is covered in 11 ... -
Advanced implementation and realization of TFDs
( Elsevier Inc. , 2016 , Book chapter)The design of efficient algorithms is the key to effective utilization of the properties of time-frequency distributions (TFDs) for real-life applications. This chapter presents the needed procedures, techniques, and ... -
Advanced time-frequency signal and system analysis
( Elsevier Inc. , 2016 , Book chapter)This chapter extends Part I by presenting additional advanced key principles underlying the use of time-frequency (t,f) methods. The topic is covered in 11 focused sections. Section 4.1 describes the relationships between ... -
An improved time–frequency noise reduction method using a psycho-acoustic Mel model
( Elsevier Inc. , 2018 , Article)This paper addresses the problem of noise reduction in non-stationary signals. The paper first describes a human physiology based time?frequency (TF) representation (HPTF) using Mel filterbanks. It is then used to improve ... -
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection
( Elsevier Inc. , 2014 , Article)Identification of different specific signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This can be done by applying the local time-frequency-based Rényi ... -
Data concerning isometric lower limb strength of dominant versus not-dominant leg in young elite soccer players
( Elsevier Inc. , 2018 , Article)The present data article describes the isometric lower limb strength of dominant leg versus not-dominant leg measured with handheld dynamometer (HHD) in a sample of 31 young elite soccer players (age 16.42 ± 0.45 years; ... -
Design and implementation of a multi-sensor newborn EEG seizure and background model with inter-channel field characterization
( Elsevier Inc. , 2019 , Article)This paper presents a novel multi-sensor non-stationary EEG model; it is obtained by combining state of the art mono-sensor newborn EEG simulators, a multilayer newborn head model comprised of four homogeneous concentric ... -
Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of features performance
( Elsevier Inc. , 2018 , Article)This paper deals with the problem of extracting information from non-stationary signals in the form of features that can be used for effective decision-making in both data analysis and machine learning for automatic ... -
Detection, classification, and estimation in the (t, f ) domain
( Elsevier Inc. , 2016 , Book chapter)Several studies involving real-life applications have shown that methods for the detection, estimation, and classification of nonstationary signals can be enhanced by utilizing the time-frequency ((t,f)) characteristics ... -
DroneRF dataset: A dataset of drones for RF-based detection, classification and identification
( Elsevier Inc. , 2019 , Article)Modern technology has pushed us into the information age, making it easier to generate and record vast quantities of new data. Datasets can help in analyzing the situation to give a better understanding, and more importantly, ... -
Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach
( Elsevier Inc. , 2014 , Article)In this paper, a fault detection and isolation (FDI) scheme for an aircraft jet engine is developed. The proposed FDI system is based on the multiple model approach and utilizes dynamic neural networks (DNNs) to accomplish ... -
Getting started with a practical and efficient time-frequency toolbox tfsap-7.0
( Elsevier Inc. , 2015 , Book chapter)[No abstract available] -
Heuristic formulation of time-frequency distributions
( Elsevier Inc. , 2015 , Book chapter)[No abstract available] -
HVAC system attack detection dataset
( Elsevier Inc. , 2021 , Dataset)The importance of the security of building management systems (BMSs) has increased given the advances in the technologies used. Since the Heating, Ventilation, and Air Conditioning (HVAC) system in buildings accounts for ... -
Instantaneous frequency estimation and localization
( Elsevier Inc. , 2016 , Book chapter)In many applications, a critical feature of a non-stationary signal is provided by its instantaneous frequency (IF), which accounts for the signal spectral variations as a function of time. This chapter presents methods ... -
Measures, performance assessment, and enhancement of TFDs
( Elsevier Inc. , 2016 , Book chapter)This chapter describes a number of time-frequency (t,f) performance quality measures specifically developed as criteria for performance enhancement for a given application. The adopted performance measures are defined using ... -
Multiple sensor fault diagnosis by evolving data-driven approach
( Elsevier Inc. , 2014 , Article)Sensors are indispensable components of modern plants and processes and their reliability is vital to ensure reliable and safe operation of complex systems. In this paper, the problem of design and development of a data-driven ...
