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Signal Processing
This book intends to provide highlights of the current research in signal processing area and to offer a snapshot of the recent advances in this field. This work is mainly destined to researchers in the signal processing related areas but it is also accessible to anyone with a scientific background desiring to have an up-to-date overview of this domain. The twenty-five chapters present methodological advances and recent applications of signal processing algorithms in various domains as telecommunications, array processing, biology, cryptography, image and speech processing. The methodologies illustrated in this book, such as sparse signal recovery, are hot topics in the signal processing community at this moment. The editor would like to thank all the authors for their excellent contributions in different areas of signal processing and hopes that this book will be of valuable help to the readers.
Latent Variable Analysis and Signal Separation
This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented – 29 accepted as oral presentations and 32 accepted as poster presentations – were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.
Speech Technologies
This book addresses different aspects of the research field and a wide range of topics in speech signal processing, speech recognition and language processing. The chapters are divided in three different sections: Speech Signal Modeling, Speech Recognition and Applications. The chapters in the first section cover some essential topics in speech signal processing used for building speech recognition as well as for speech synthesis systems: speech feature enhancement, speech feature vector dimensionality reduction, segmentation of speech frames into phonetic segments. The chapters of the second part cover speech recognition methods and techniques used to read speech from various speech databases and broadcast news recognition for English and non-English languages. The third section of the book presents various speech technology applications used for body conducted speech recognition, hearing impairment, multimodal interfaces and facial expression recognition.
Signal Processing
This book intends to provide highlights of the current research in signal processing area and to offer a snapshot of the recent advances in this field. This work is mainly destined to researchers in the signal processing related areas but it is also accessible to anyone with a scientific background desiring to have an up-to-date overview of this domain. The twenty-five chapters present methodological advances and recent applications of signal processing algorithms in various domains as telecommunications, array processing, biology, cryptography, image and speech processing. The methodologies illustrated in this book, such as sparse signal recovery, are hot topics in the signal processing community at this moment. The editor would like to thank all the authors for their excellent contributions in different areas of signal processing and hopes that this book will be of valuable help to the readers.
Journal 1935–1944
Hailed as one of the most important portrayals of the dark years of Nazism, this powerful chronicle by the Romanian Jewish writer Mihail Sebastian aroused a furious response in Eastern Europe when it was first published. A profound and powerful literary achievement, it offers a lucid and finely shaded analysis of erotic and social life, a Jew’s diary, a reader’s notebook, a music-lover’s journal. Above all, it is an account of the “rhinocerization” of major Romanian intellectuals whom Sebastian counted among his friends, including Mircea Eliade and E.M. Cioran, writers and thinkers who were mesmerized by the Nazi-fascist delirium of Europe’s “reactionary revolution.” In poign...
Traitement Du Signal Et Des Images (Vol 1)
Ce livre en deux volumes reprend les actes officiels du 20e colloque GRETSI sur le traitement du signal et des images (6 - 9 septembre 2005, Louvain-la-Neuve, Belgique). Cette conférence francophone internationale, qui a lieu tous les deux ans sur l'impulsion du Groupe de recherche sur le traitement du signal (GRETSI), fut coorganisée pour cette 20e édition par le Laboratoire de télécommunications et télédétection (TELE) et l'Institut de physique théorique et mathématique (FYMA) de l'Université catholique de Louvain (UCL). Le colloque GRETSI 2005 a rassemblé quelques 350 personnes autour de 316 communications orales et posters de haut niveau. Les domaines de recherche couverts dans ces deux volumes sont multiples: représentations et modèles de signaux et d'images, communications et codage d'informations, traitement et analyse de signaux et d'images, décisions et interprétations automatiques, architectures matérielles et logicielles, etc. Ils comprennent également l'application de ces techniques en bio-ingénierie, astrophysique, imagerie médicale, géophysique, multimédia, aéronautique, ingénierie spatiale et d'autres encore.
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Latent Variable Analysis and Signal Separation
This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing.
Latent Variable Analysis and Signal Separation
This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018.The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods.
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