Digital Signalbehandling

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Human Computer Interaction, IHCI 2022, held in Tashkent, Uzbekistan, during October 20¿22, 2022. The 47 full papers and 13 short papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: Bio-inspired Computing; Cognitive computing; Human Centered AI; Intelligent Technology for Post-Covid and Web Frameworks.

Archaeological and anthropological investigations of depictions seldom extend beyond a single culture or a single geographical location, although there is a powerful factor common to all depictions, the factor of human perception. In this volume an attempt is made to show how this factor affects both creation and recognition of depictions, how, in common with everyday vision of the environment, typical contours are derived and used, not merely to depict individually readily recognisable models, but also how by concatenation they lead to such a splendid figure as Australian Kakadu crocodiles, or by distortion to creation of illusions of pictorial depth, such as is evoked by Leonardo da Vinci¿s perspective and by inverted (Byzantine) perspective thought by some to be an aberration. Bartel¿s studies show that pictorial depth is often achieved to the artist¿s, and many a viewer¿s, but not to geometer¿s satisfaction by partial distortion, and Chinese masterpieces embody, side by side, ¿normal¿ and inverted perspective.The visual process is universally uniform (if it were not, one would not be able to recognise an Altamira bison as a bison) and its foibles can be freely exploited.Its best known exploiter is probably Cezanne. His pictures are admired by many and puzzle many. Strzemi¿ski postulated that they compound distinct lines of sight, thus endorsing primacy of central vision, a concept thought by Gombrich to be of greater import to geometers than to artists.

This book describes multi-site diversity modelling of induced rain attenuation statistics for satellite communication systems using copula functions. It gathers all relevant state-of-the-art knowledge, provides the missing pieces and rounds them up in a way that the reader is given a complete picture of important modelling factors and ways to address them. The books¿ main features include: Data post-processing methodology for statistical analysis based on our Earth-satellite propagation experiments. Two novel multi-site diversity prediction models based on Gaussian copula considering distance between stations or considering distance, baseline, and elevation angle. Two novel multi-site diversity prediction models based on hyperbolic cosecant copula considering distance between stations or considering distance, baseline, and elevation angle. Exhaustive comparative tests and error performance of the prediction models showing that improved error performance is achieved compared to the ITU R model and to the state-of-the-art models. The results presented in the book are expected to contribute to the improvement of the system design and to the further research of modelling the next generation satellite links at higher frequencies.

This book constitutes the refereed post-conference proceedings the 11th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2022 which was held in Faro, Portugal, November 21-22, 2022. The 45 revised full papers presented were carefully selected from 118 submissions. The papers are thematically arranged in the following sections: Dialogues Between Geometry, Computer Graphics and the Visual Arts; Games and Gamification; Museums and the Virtual; Animation, AI, Books and Behavior; Fluency, Fashion, Emotion and Play; Movement, Film and Audio.

This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP.The 20 full papers and 7 short papers presented in this book were carefully reviewed and selected from 55 submissions. They cover a wide range of topics and application areas of artificial intelligence, including generative approaches to music and visual art, deep learning, and architecture.

This book discusses advances in the field of Human Machine Interfaces and provides practical knowledge in biomedical signal processing, AI, and machine learning. It discusses Augmented Reality/Virtual Reality-based HMI applications. It examines advances in nanotechnology, user interface design, and interactive systems.

This book covers image and video color editing research advances over the last two decades. Bringing readers up to speed on digital image and video editing techniques and research, the book delves into an area that has attracted much attention from researchers due to the rapid development of computer graphics and the widespread prevalence of digital cameras and mobile phones in daily life. Readers will get a comprehensive overview of the theory and application of color transfer, emotional color transfer, colorization, decolorization, and style transfer in altering still and moving digital images. Despite the existence of professional image editing software that can complete complex image editing work, the skills required to achieve satisfactory editing results can be prohibitive, and even professional image editors need to spend a lot of time developing and maintaining aptitude in a niche tool. Instead, the book explores image and video editing techniques that are simple and effective alternatives to such editing software that professional and amateur image editors can utilize. The book focuses on color as one of the most important features of an image or video. Image and video color editing aims to dramatically alter source images suitable for a wide range of applications.

This professional book offers a unique, comprehensive and timely guide on 3D audio recording. Intended for sound engineers and professionals, and summarizing more than twenty-year research on this topic, it includes extensive information and details on various microphone techniques and loudspeaker layouts, such as Auro-3D®, Dolby® AtmosTM, DTS:X®, MMAD, SONY 360 Reality Audio and Ambisonics. It presents a rich set of results obtained from both objective measurements and subjective listening tests, and a number of case studies for 3D recording, ranging from solo-instrument techniques to full symphony orchestra, and microphone systems for virtual reality applications. Further, it includes a chapter on spatial hearing discussing issues of 3D audio sound reproduction. All in all, this book offers extensive, practical information for sound engineers and professionals.

In modern data analysis, massive measurements from a network require novel signal processing techniques, which are expected to be adapted to the network topology, have distributed implementation, and are flexible enough for various applications. Graph signal processing (GSP) theories and techniques are geared towards these goals. GSP has seen rapid developments in recent years. Since its introduction around ten years ago, we have seen numerous new ideas and practical applications related to the field. In this monograph, an overview of recent advances in generalizing GSP is presented, with a focus on the extension to high-dimensional spaces, models, and structures. Alongside new frameworks proposed to tackle such problems, many new mathematical tools are introduced. In the first part of the monograph, traditional GSP is reviewed, challenges that it faces are highlighted, and efforts in overcoming such challenges are motivated. These efforts then become the theme for the rest of the publication. Included are the generalization of GSP to high dimensional vertex signal spaces, the theory of random shift operators and the wide-sense stationary (WSS) statistical signal models, and the treatment of high dimensionality in graph structures and generalized graph-like structures. The monograph concludes with an outline of possible future directions.

This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems.This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals.This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms.The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domainsampling theorem.The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics.¿ Provides developments of Fourier series and other orthogonal series¿ Presents fundamental Fourier transform properties and example applications¿ Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains¿ Presents a fundamental development of probability and random variables¿ Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity

This book presents recent advances in NLP and speech technology, a topic attracting increasing interest in a variety of fields through its myriad applications, such as the demand for speech guided touchless technology during the Covid-19 pandemic. The authors present results of recent experimental research that provides contributions and solutions to different issues related to speech technology and speech in industry. Technologies include natural language processing, automatic speech recognition (for under-resourced dialects) and speech synthesis that are useful for applications such as intelligent virtual assistants, among others. Applications cover areas such as sentiment analysis and opinion mining, Arabic named entity recognition, and language modelling. This book is relevant for anyone interested in the latest in language and speech technology.

This book presents recent advances of Bayesian inference in structured tensor decompositions. It explains how Bayesian modeling and inference lead to tuning-free tensor decomposition algorithms, which achieve state-of-the-art performances in many applications, includingblind source separation;social network mining;image and video processing;array signal processing; and,wireless communications.The book begins with an introduction to the general topics of tensors and Bayesian theories. It then discusses probabilistic models of various structured tensor decompositions and their inference algorithms, with applications tailored for each tensor decomposition presented in the corresponding chapters. The book concludes by looking to the future, and areas where this research can be further developed.Bayesian Tensor Decomposition for Signal Processing and Machine Learning is suitable for postgraduates and researchers with interests in tensor data analytics and Bayesian methods.

This book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by comparing them to a number of methods existing in literature. For evaluating the proposed techniques, results are applied to different speech and ECG signals and their performances are justified from the results obtained from using objective criterion such as SNR, SSNR, PSNR, PESQ , MAE, MSE and more.

This book presents the proceedings of the International Science and Technology Conference ¿FarEastCon 2021,¿ which took place on October 5¿8, 2021, in Vladivostok, Russian Federation. The book discusses modern achievements and promising research in the sphere of intelligent technologies in solving real, applied problems in various fields of industry and economic policies of different countries. Featuring selected papers from the conference, this book is of interest to experts in various fields whose work involves developing innovative solutions and increasing the efficiency of economic activities.

The book is a collection of high-quality research papers presented at 7th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by Communication University of Zhejiang, China and technically co-sponsored by Shandong University of Science and Technology, China; Zhejiang Lab, China; and Fujian University of Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.

This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.

Deep learning has achieved remarkable success in many machine learning tasks such as image classification, speech recognition, and game playing. However, these breakthroughs are often difficult to translate into real-world engineering systems because deep learning models require a massive number of training samples, which are costly to obtain in practice. To address labeled data scarcity, few-shot meta-learning optimizes learning algorithms that can efficiently adapt to new tasks quickly. While meta-learning is gaining significant interest in the machine learning literature, its working principles and theoretic fundamentals are not as well understood in the engineering community. This review monograph provides an introduction to meta-learning by covering principles, algorithms, theory, and engineering applications. After introducing meta-learning in comparison with conventional and joint learning, the main meta-learning algorithms are described, as well as a general bilevel optimization framework for the definition of meta-learning techniques. Then, known results on the generalization capabilities of meta-learning from a statistical learning viewpoint are summarized. Applications to communication systems, including decoding and power allocation, are discussed next, followed by an introduction to aspects related to the integration of meta-learning with emerging computing technologies, namely neuromorphic and quantum computing. The monograph concludes with an overview of open research challenges.

This book provides a comprehensive view of cyber operations, analysis and targeting, including operational examples viewed through a lens of conceptual models available in current technical and policy literature. Readers will gain a better understanding of how the current cyber environment developed, as well as how to describe it for future defense. The author describes cyber analysis first as a conceptual model, based on well-known operations that span from media to suspected critical infrastructure threats. He then treats the topic as an analytical problem, approached through subject matter interviews, case studies and modeled examples that provide the reader with a framework for the problem, developing metrics and proposing realistic courses of action.Provides first book to offer comprehensive coverage of cyber operations, analysis and targeting;Pulls together the various threads that make up current cyber issues, including information operations to confidentiality, integrity and availability attacks;Uses a graphical, model based, approach to describe as a coherent whole the development of cyber operations policy and leverage frameworks;Provides a method for contextualizing and understanding cyber operations.

This book constitutes the proceedings of the 30th International Symposium on Graph Drawing and Network Visualization, GD 2022, held in Tokyo, Japan, during September 13-16, 2022. The 25 full papers, 7 short papers, presented together with 2 invited talks, one report on graph drawing contest, and one obituary in these proceedings were carefully reviewed and selected from 70 submissions. The abstracts of 5 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: properties of drawings of complete graphs; stress-based visualizations of graphs; planar and orthogonal drawings; drawings and properties of directed graphs; beyond planarity; dynamic graph visualization; linear layouts; and contact and visibility graph representations.

This book presents peer-reviewed and selected papers of the International Youth Conference on Electronics, Telecommunications, and Information Technologies (YETI-2021), held in Peter the Great St. Petersburg Polytechnic University, St. Petersburg, on April 22-23, 2021. For the third time around, the conference brings together students and early career scientists, serving to disseminate the current trends and advances in electronics, telecommunications, optical, and information technologies. A series of workshops and poster sessions focusing, in particular, on the theoretical and practical challenges in nanotechnologies, photonics, signal processing, and telecommunications allow to establish contacts between potential partners, share new ideas, and start new collaborations. The conference is held in an online format, thus considerably expanding its geographical reach and offering an even wider scope of discussion.