1997 Ieee International Conference On Acoustics Speech And Signal Processing Statistical Signal And Array Processing Applications
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1997 Ieee International Conference On Acoustics Speech And Signal Processing Statistical Signal And Array Processing Applications
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Author :
language : en
Publisher:
Release Date : 1997
1997 Ieee International Conference On Acoustics Speech And Signal Processing Statistical Signal And Array Processing Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Electro-acoustics categories.
1997 Ieee International Conference On Acoustics Speech And Signal Processing
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1997
1997 Ieee International Conference On Acoustics Speech And Signal Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Science categories.
1997 Ieee International Conference On Acoustics Speech And Signal Processing Multidimensional Signal Processing Neural Networks
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Author :
language : en
Publisher:
Release Date : 1997
1997 Ieee International Conference On Acoustics Speech And Signal Processing Multidimensional Signal Processing Neural Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Electro-acoustics categories.
Applications In Time Frequency Signal Processing
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Author : Antonia Papandreou-Suppappola
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Applications In Time Frequency Signal Processing written by Antonia Papandreou-Suppappola and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency component. A more suitable approach for those studying non-stationary signals is the use of time frequency representations that are functions of both time and frequency. Applications in Time-Frequency Signal Processing investigates the use of various time-frequency representations, such as the Wigner distribution and the spectrogram, in diverse application areas. Other books tend to focus on theoretical development. This book differs by highlighting particular applications of time-frequency representations and demonstrating how to use them. It also provides pseudo-code of the computational algorithms for these representations so that you can apply them to your own specific problems. Written by leaders in the field, this book offers the opportunity to learn from experts. Time-Frequency Representation (TFR) algorithms are simplified, enabling you to understand the complex theories behind TFRs and easily implement them. The numerous examples and figures, review of concepts, and extensive references allow for easy learning and application of the various time-frequency representations.
Handbook Of Signal Processing In Acoustics
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Author : David Havelock
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-10-26
Handbook Of Signal Processing In Acoustics written by David Havelock and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-26 with Science categories.
The Handbook of Signal Processing in Acoustics brings together a wide range of perspectives from over 100 authors to reveal the interdisciplinary nature of the subject. It brings the key issues from both acoustics and signal processing into perspective and is a unique resource for experts and practitioners alike to find new ideas and techniques within the diversity of signal processing in acoustics.
Applications Of Space Time Adaptive Processing
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Author : Richard Klemm
language : en
Publisher: IET
Release Date : 2004-08-13
Applications Of Space Time Adaptive Processing written by Richard Klemm and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-13 with Technology & Engineering categories.
This text discusses various applications of space-time adaptive processing, including applications in OTH-radar, ground target tracking, STAP in real world clutter environments, jammer cancellation, superresolution, active sonar, seismics and communications. It is divided into two parts: the first dealing with the classical adaptive suppression of airborne and spacebased radar clutter, and the second comprising of miscellaneous applications in other fields such as communications, underwater sound and seismics.
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Author :
language : en
Publisher: CRC Press
Release Date :
written by and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Speech Enhancement Modeling And Recognition Algorithms And Applications
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Author : S. Ramakrishnan
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-03-14
Speech Enhancement Modeling And Recognition Algorithms And Applications written by S. Ramakrishnan and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-14 with Computers categories.
This book on Speech Processing consists of seven chapters written by eminent researchers from Italy, Canada, India, Tunisia, Finland and The Netherlands. The chapters covers important fields in speech processing such as speech enhancement, noise cancellation, multi resolution spectral analysis, voice conversion, speech recognition and emotion recognition from speech. The chapters contain both survey and original research materials in addition to applications. This book will be useful to graduate students, researchers and practicing engineers working in speech processing.
The Digital Signal Processing Handbook
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Author : VIJAY MADISETTI
language : en
Publisher: CRC Press
Release Date : 1997-12-29
The Digital Signal Processing Handbook written by VIJAY MADISETTI and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-12-29 with Technology & Engineering categories.
The field of digital signal processing (DSP) has spurred developments from basic theory of discrete-time signals and processing tools to diverse applications in telecommunications, speech and acoustics, radar, and video. This volume provides an accessible reference, offering theoretical and practical information to the audience of DSP users. This immense compilation outlines both introductory and specialized aspects of information-bearing signals in digital form, creating a resource relevant to the expanding needs of the engineering community. It also explores the use of computers and special-purpose digital hardware in extracting information or transforming signals in advantageous ways. Impacted areas presented include: Telecommunications Computer engineering Acoustics Seismic data analysis DSP software and hardware Image and video processing Remote sensing Multimedia applications Medical technology Radar and sonar applications This authoritative collaboration, written by the foremost researchers and practitioners in their fields, comprehensively presents the range of DSP: from theory to application, from algorithms to hardware.
Cross Modal Learning Adaptivity Prediction And Interaction
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Author : Jianwei Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-02
Cross Modal Learning Adaptivity Prediction And Interaction written by Jianwei Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-02 with Science categories.
The purpose of this Research Topic is to reflect and discuss links between neuroscience, psychology, computer science and robotics with regards to the topic of cross-modal learning which has, in recent years, emerged as a new area of interdisciplinary research. The term cross-modal learning refers to the synergistic synthesis of information from multiple sensory modalities such that the learning that occurs within any individual sensory modality can be enhanced with information from one or more other modalities. Cross-modal learning is a crucial component of adaptive behavior in a continuously changing world, and examples are ubiquitous, such as: learning to grasp and manipulate objects; learning to walk; learning to read and write; learning to understand language and its referents; etc. In all these examples, visual, auditory, somatosensory or other modalities have to be integrated, and learning must be cross-modal. In fact, the broad range of acquired human skills are cross-modal, and many of the most advanced human capabilities, such as those involved in social cognition, require learning from the richest combinations of cross-modal information. In contrast, even the very best systems in Artificial Intelligence (AI) and robotics have taken only tiny steps in this direction. Building a system that composes a global perspective from multiple distinct sources, types of data, and sensory modalities is a grand challenge of AI, yet it is specific enough that it can be studied quite rigorously and in such detail that the prospect for deep insights into these mechanisms is quite plausible in the near term. Cross-modal learning is a broad, interdisciplinary topic that has not yet coalesced into a single, unified field. Instead, there are many separate fields, each tackling the concerns of cross-modal learning from its own perspective, with currently little overlap. We anticipate an accelerating trend towards integration of these areas and we intend to contribute to that integration. By focusing on cross-modal learning, the proposed Research Topic can bring together recent progress in artificial intelligence, robotics, psychology and neuroscience.