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Mathematics and digital signal processing / Pavel Lyakhov (2021)  

Public Titre : Mathematics and digital signal processing Type de document : Monographie Auteurs : Pavel Lyakhov, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 180 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-1475-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal [Termes IGN] apprentissage automatique [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] dégradation du signal [Termes IGN] entropie maximale [Termes IGN] filtre adaptatif [Termes IGN] filtre numérique [Termes IGN] modélisation 3D [Termes IGN] qualité du signal [Termes IGN] rapport signal sur bruit [Termes IGN] signal numérique [Termes IGN] transformation en ondelettes Résumé : (éditeur) Modern computer technology has opened up new opportunities for the development of digital signal processing methods. The applications of digital signal processing have expanded significantly and today include audio and speech processing, sonar, radar, and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, and seismology, among others. This Special Issue is aimed at wide coverage of the problems of digital signal processing, from mathematical modeling to the implementation of problem-oriented systems. The basis of digital signal processing is digital filtering. Wavelet analysis implements multiscale signal processing and is used to solve applied problems of de-noising and compression. Processing of visual information, including image and video processing and pattern recognition, is actively used in robotic systems and industrial processes control today. Improving digital signal processing circuits and developing new signal processing systems can improve the technical characteristics of many digital devices. The development of new methods of artificial intelligence, including artificial neural networks and brain-computer interfaces, opens up new prospects for the creation of smart technology. This Special Issue contains the latest technological developments in mathematics and digital signal processing. The stated results are of interest to researchers in the field of applied mathematics and developers of modern digital signal processing systems. Note de contenu : 1- Analysis of the quantization noise in discrete wavelet transform filters for 3D medical imaging 2- Maximum correntropy criterion based l1-iterative Wiener filter for sparse channel estimation robust to impulsive noise 3- Development of classification algorithms for the detection of postures using non-marker-based motion capture systems 4- Three-dimensional (3D) model-based lower limb stump automatic orientation 5- Improving calculation accuracy of digital filters based on finite field algebra 6- Multiresolution speech enhancement based on proposed circular nested microphone array in combination with sub-band affine projection algorithm 7- Classification of hydroacoustic signals based on harmonic wavelets and a deep learning artificial intelligence system 8- Quantification of the feedback regulation by digital signal analysis methods: Application to blood pressure control efficacy 9- Wood defect detection based on depth extreme learning machine 10- A division algorithm in a redundant residue number system using fractions Numéro de notice : 28684 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-1475-8 En ligne : https://doi.org/10.3390/books978-3-0365-1475-8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99983