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Digital Signal Processing Lecture Notes 2017


Digital Signal Processing Lecture Notes 2017
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Signal Processing For Communications


Signal Processing For Communications
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Author : Paolo Prandoni
language : en
Publisher: Collection Savoir suisse
Release Date : 2008-06-17

Signal Processing For Communications written by Paolo Prandoni and has been published by Collection Savoir suisse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-17 with Signal processing categories.


With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel.



Digital Signal Processing Lecture Notes 2017


Digital Signal Processing Lecture Notes 2017
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Author : Thomas Weldon
language : en
Publisher:
Release Date : 2018-01-03

Digital Signal Processing Lecture Notes 2017 written by Thomas Weldon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-03 with categories.


The lecture notes in this book are a collection of presentation slides for teaching an introductory undergraduate course in digital signal processing. As lecture notes, this book is not intended to be a substitute for the many excellent textbooks in this field. Instead, this book is intended as a supplement to other course materials, and as a workbook for students taking notes during corresponding lectures. In addition, practicing engineers may find this book useful for quick review of the topic. Outline of the book: 1 Introduction and Overview2 Discrete-Time Signals and Systems3 Sampling and Difference Equations4 Discrete-Time Fourier Transform5 Discrete Fourier Transform 6 Z-Transform7 Novel Applications8 Digital Radio9 Digital Filter Design10 Classifiers 11 Exam Review12 Appendix



Digital Signal Processing With Kernel Methods


Digital Signal Processing With Kernel Methods
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Author : Jose Luis Rojo-Alvarez
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-05

Digital Signal Processing With Kernel Methods written by Jose Luis Rojo-Alvarez and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-05 with Technology & Engineering categories.


A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research. Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors: http://github.com/DSPKM • Presents the necessary basic ideas from both digital signal processing and machine learning concepts • Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing • Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.



Advanced Digital Signal Processing Lecture Notes 2017


Advanced Digital Signal Processing Lecture Notes 2017
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Author : Thomas Weldon
language : en
Publisher:
Release Date : 2017-12-03

Advanced Digital Signal Processing Lecture Notes 2017 written by Thomas Weldon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-03 with categories.


The lecture notes in this book are a collection of presentation slides for teaching an advanced undergraduate course or a graduate course in advanced digital signal processing. As lecture notes, this book is not intended to be a substitute for the many excellent textbooks in this field. Instead, this book is intended as a supplement to other course materials, and as a workbook for students taking notes during corresponding lectures. In addition, practicing engineers may find this book useful for quick review of the topic. Outline of the book: 1 Introduction and DSP Review2 Classical Digital Filters3 Signal Models and Pad� Method4 Prony Method and Least Squares5 All-Pole Models6 Applications7 ARMA Models8 Spectral Estimation9 Wiener Filters10 Recursive Least Squares 11 Classifiers12 Appendix



Multimedia Forensics


Multimedia Forensics
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Author : Husrev Taha Sencar
language : en
Publisher: Springer Nature
Release Date : 2022-04-02

Multimedia Forensics written by Husrev Taha Sencar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-02 with Computers categories.


This book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.



Data Management And Analysis


Data Management And Analysis
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Author : Reda Alhajj
language : en
Publisher: Springer Nature
Release Date : 2019-12-20

Data Management And Analysis written by Reda Alhajj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-20 with Computers categories.


Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.



Proceedings Of Icetit 2019


Proceedings Of Icetit 2019
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Author : Pradeep Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2019-09-23

Proceedings Of Icetit 2019 written by Pradeep Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-23 with Computers categories.


This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019. This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics and cloud computing, security and privacy, and next generation computing technologies.



Advancements In Complex Analysis


Advancements In Complex Analysis
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Author : Daniel Breaz
language : en
Publisher: Springer Nature
Release Date : 2020-05-12

Advancements In Complex Analysis written by Daniel Breaz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-12 with Mathematics categories.


The contributions to this volume are devoted to a discussion of state-of-the-art research and treatment of problems of a wide spectrum of areas in complex analysis ranging from pure to applied and interdisciplinary mathematical research. Topics covered include: holomorphic approximation, hypercomplex analysis, special functions of complex variables, automorphic groups, zeros of the Riemann zeta function, Gaussian multiplicative chaos, non-constant frequency decompositions, minimal kernels, one-component inner functions, power moment problems, complex dynamics, biholomorphic cryptosystems, fermionic and bosonic operators. The book will appeal to graduate students and research mathematicians as well as to physicists, engineers, and scientists, whose work is related to the topics covered.



Computing Communication And Signal Processing


Computing Communication And Signal Processing
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Author : Brijesh Iyer
language : en
Publisher: Springer
Release Date : 2018-09-12

Computing Communication And Signal Processing written by Brijesh Iyer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-12 with Technology & Engineering categories.


This book highlights cutting-edge research on various aspects of human–computer interaction (HCI). It includes selected research papers presented at the Third International Conference on Computing, Communication and Signal Processing (ICCASP 2018), organized by Dr. Babasaheb Ambedkar Technological University in Lonere-Raigad, India on January 26–27, 2018. It covers pioneering topics in the field of computer, electrical, and electronics engineering, e.g. signal and image processing, RF and microwave engineering, and emerging technologies such as IoT, cloud computing, HCI, and green computing. As such, the book offers a valuable guide for all scientists, engineers and research students in the areas of engineering and technology.



Digital Signal Processing Using Matlab Wavelets


Digital Signal Processing Using Matlab Wavelets
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Author : Michael Weeks
language : en
Publisher: Jones & Bartlett Publishers
Release Date : 2011

Digital Signal Processing Using Matlab Wavelets written by Michael Weeks and has been published by Jones & Bartlett Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


Although Digital Signal Processing (DSP) has long been considered an electrical engineering topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles. Designed for upper division engineering and computer science students as well as practicing engineers and scientists, Digital Signal Processing Using MATLAB & Wavelets, Second Edition emphasizes the practical applications of signal processing. Over 100 MATLAB examples and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound. This Second Edition also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory. Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience. Beginning with an introduction to MATLAB programming, it moves through filters, sinusoids, sampling, the Fourier transform, the z-transform and other key topics. Two chapters are dedicated to the discussion of wavelets and their applications. A CD-ROM (platform independent) accompanies the book and contains source code, projects for each chapter, and the figures from the book.