Current methods in electrocardiogram characterization

RJ Martis, UR Acharya, H Adeli - Computers in biology and medicine, 2014 - Elsevier
The Electrocardiogram (ECG) is the P-QRS-T wave depicting the cardiac activity of the heart.
The subtle changes in the electric potential patterns of repolarization and depolarization are …

Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing techniques

S Delvecchio, P Bonfiglio, F Pompoli - Mechanical Systems and Signal …, 2018 - Elsevier
This paper deals with the state-of-the-art strategies and techniques based on vibro-acoustic
signals that can monitor and diagnose malfunctions in Internal Combustion Engines (ICEs) …

[SÁCH][B] Modern signal processing

XD Zhang - 2022 - books.google.com
The book systematically introduces theories of frequently-used modern signal processing
methods and technologies, and focuses discussions on stochastic signal, parameter …

Projection-based model reduction: Formulations for physics-based machine learning

R Swischuk, L Mainini, B Peherstorfer, K Willcox - Computers & Fluids, 2019 - Elsevier
This paper considers the creation of parametric surrogate models for applications in science
and engineering where the goal is to predict high-dimensional output quantities of interest …

A multilinear singular value decomposition

L De Lathauwer, B De Moor, J Vandewalle - SIAM journal on Matrix Analysis …, 2000 - SIAM
We discuss a multilinear generalization of the singular value decomposition. There is a
strong analogy between several properties of the matrix and the higher-order tensor …

[SÁCH][B] Advanced digital signal processing and noise reduction

SV Vaseghi - 2008 - books.google.com
Digital signal processing plays a central role in the development of modern communication
and information processing systems. The theory and application of signal processing is …

The spectral kurtosis: a useful tool for characterising non-stationary signals

J Antoni - Mechanical systems and signal processing, 2006 - Elsevier
The spectral kurtosis (SK) is a statistical tool which can indicate the presence of series of
transients and their locations in the frequency domain. As such, it helpfully supplements the …

[SÁCH][B] Advanced high dynamic range imaging

F Banterle, A Artusi, K Debattista, A Chalmers - 2017 - taylorfrancis.com
This book explores the methods needed for creating and manipulating HDR content. HDR is
a step change from traditional imaging; more closely matching what we see with our eyes. In …

Survey of automatic modulation classification techniques: classical approaches and new trends

OA Dobre, A Abdi, Y Bar-Ness, W Su - IET communications, 2007 - IET
The automatic recognition of the modulation format of a detected signal, the intermediate
step between signal detection and demodulation, is a major task of an intelligent receiver …

[SÁCH][B] Adaptive blind signal and image processing: learning algorithms and applications

A Cichocki, S Amari - 2002 - books.google.com
With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …