Author: IEEE Staff Publisher: ISBN: 9781665409001 Category : Languages : en Pages :
Book Description
EUSIPCO 2021 will feature the latest developments in research and technology for signal processing, with world class speakers, oral and poster sessions, plenaries, exhibitions, demonstrations, tutorials, and satellite workshops We invite the submission of original, unpublished technical papers on topics including but not limited to Audio and acoustic signal,processing,Speech and language processing,Image and video processing,Multimedia signal processing,Signal processing theory and methods,Sensor array and multichannel signal processing,Signal processing for communications,Radar and sonar signal processing,Signal processing over graphs and networks,Nonlinear signal processing,Statistical signal processing,Compressed sensing and sparse modelling,Optimization methods,Machine learning,Bio medical image and signal processing,Signal processing for computer vision and robotics,Computational imaging and spectral imaging,Information forensics and security
Author: Alexey Karpov Publisher: Springer Nature ISBN: 303148309X Category : Computers Languages : en Pages : 657
Book Description
The two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29–December 2, 2023. The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.
Author: S. R. Mahadeva Prasanna Publisher: Springer Nature ISBN: 303120980X Category : Computers Languages : en Pages : 737
Book Description
This book constitutes the proceedings of the 24th International Conference on Speech and Computer, SPECOM 2022, held as a hybrid event in Gurugram, India, in November 2022. The 51 full and 9 short papers presented in this volume were carefully reviewed and selected from 99 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources.
Author: Fan Liu Publisher: Springer Nature ISBN: 9819925010 Category : Technology & Engineering Languages : en Pages : 611
Book Description
The coming generations of wireless network technologies will serve, not only as a means of connecting physical and digital environments, but also to set the foundation for an intelligent world in which all aspects are interconnected, sensed, and endowed with intelligence. Beyond merely providing communication capabilities, future networks will have the capacity to "see" and interpret the physical world. This development compels us to re-imagine the design of current communication infrastructures and terminals, taking into account crucial aspects such as fundamental constraints and tradeoffs, information extraction and processing technologies, issues of public security and privacy, as well as the emergence of numerous new applications. This field of research is known as Integrated Sensing and Communications (ISAC), and it has ushered in a paradigm shift towards the omnipresence of radio devices.This book provides the first comprehensive introduction to the ISAC theoretical and practical framework. Each chapter is authored by a group of world-leading experts, including over 10 IEEE Fellows. Readers can expect to gain both a broad overview and detailed technical insights into the latest ISAC innovations.
Author: Angelo Coluccia Publisher: Artech House ISBN: 1630819018 Category : Technology & Engineering Languages : en Pages : 235
Book Description
This book shows you how to adopt data-driven techniques for the problem of radar detection, both per se and in combination with model-based approaches. In particular, the focus is on space-time adaptive target detection against a background of interference consisting of clutter, possible jammers, and noise. It is a handy, concise reference for many classic (model-based) adaptive radar detection schemes as well as the most popular machine learning techniques (including deep neural networks) and helps you identify suitable data-driven approaches for radar detection and the main related issues. You’ll learn how data-driven tools relate to, and can be coupled or hybridized with, traditional adaptive detection statistics; understand fundamental concepts, schemes, and algorithms from statistical learning, classification, and neural networks domains. The book also walks you through how these concepts and schemes have been adapted for the problem of radar detection in the literature and provides you with a methodological guide for the design, illustrating different possible strategies. You’ll be equipped to develop a unified view, under which you can exploit the new possibilities of the data-driven approach even using simulated data. This book is an excellent resource for Radar professionals and industrial researchers, postgraduate students in electrical engineering and the academic community.
Author: Paulo S.R. Diniz Publisher: Elsevier ISBN: 032397225X Category : Technology & Engineering Languages : en Pages : 1236
Book Description
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. - Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools - Presents core principles in signal processing theory and shows their applications - Discusses some emerging signal processing tools applied in machine learning methods - References content on core principles, technologies, algorithms and applications - Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge
Author: IEEE Staff
Author: Millie Pant
Author: Alexey Karpov
Author: S. R. Mahadeva Prasanna
Author: Jean-Pierre Delmas
Author: Vinit Kumar Gunjan
Author: Fan Liu
Author: Ashish Ghosh
Author: Angelo Coluccia
Author: Paulo S.R. Diniz