2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop PDF Download
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Author:
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ISBN: 9781424405350
Category :
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN: 9781424405350
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author:
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Category :
Languages : en
Pages : 0
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Author: Institute of Electrical and Electronics Engineers
Publisher:
ISBN:
Category :
Languages : en
Pages : 317
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Author: Mary Wallace
Publisher:
ISBN:
Category :
Languages : en
Pages : 644
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Book Description
Author: Danilo Comminiello
Publisher: Butterworth-Heinemann
ISBN: 0128129778
Category : Technology & Engineering
Languages : en
Pages : 390
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Book Description
Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. - Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. - Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. - Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.
Author: João Carlos Xavier-Junior
Publisher: Springer Nature
ISBN: 303121689X
Category : Computers
Languages : en
Pages : 686
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Book Description
The two-volume set LNAI 13653 and 13654 constitutes the refereed proceedings of the 11th Brazilian Conference on Intelligent Systems, BRACIS 2022, which took place in Campinas, Brazil, in November/December 2022. The 89 papers presented in the proceedings were carefully reviewed and selected from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence.
Author: Rulph Chassaing
Publisher: John Wiley & Sons
ISBN: 0471704067
Category : Science
Languages : en
Pages : 542
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Book Description
This book is a tutorial on digital techniques for waveform generation, digital filters, and digital signal processing tools and techniques The typical chapter begins with some theoretical material followed by working examples and experiments using the TMS320C6713-based DSPStarter Kit (DSK) The C6713 DSK is TI's newest signal processor based on the C6x processor (replacing the C6711 DSK)
Author: Haonan Chen
Publisher: Springer Nature
ISBN: 9819935814
Category : Computers
Languages : en
Pages : 181
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Book Description
This volume constitutes selected papers presented at the First International Congress on Communications, Networking, and Information Systems, CNIS 2023, held in Guilin, China, in March 2023. The 8 full papers and 2 short papers presented were thoroughly reviewed and selected from the 32 submissions. The papers are organized in topical sections on communications and networking, and information systems and artificial intelligence.
Author: De-Shuang Huang
Publisher: Springer Nature
ISBN: 3030607992
Category : Computers
Languages : en
Pages : 614
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Book Description
This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology.
