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294 results in Communications and signal processing

Page 1 of 15

Linear Cryptanalysis

Introduction to Machine Learning
  • From Math to Code
  • Ruye Wang
  • Coming soon
  • Expected online publication date:
    September 2025
    Print publication:
    30 September 2025
  • Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.

Wireless Communications and Machine Learning

Financial Data Science
  • Giuseppe Calafiore, Laurent El Ghaoui, Giulia Fracastoro, Alicia Tsai
  • Coming soon
  • Expected online publication date:
    July 2025
    Print publication:
    30 June 2025
  • Confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Master the fundamentals with step-by-step introductions to core topics will equip you with a solid foundation for applying data science techniques to real-world complex financial problems. Extract meaningful insights as you learn how to use data to lead informed, data-driven decisions, with over 50 examples and case studies and hands-on Matlab and Python code. Explore cutting-edge techniques and tools in machine learning for financial data analysis, including deep learning and natural language processing. Accessible to readers without a specialized background in finance or machine learning, and including coverage of data representation and visualization, data models and estimation, principal component analysis, clustering methods, optimization tools, mean/variance portfolio optimization and financial networks, this is the ideal introduction for financial services professionals, and graduate students in finance and data science.

Partially Observed Markov Decision Processes
  • Filtering, Learning and Controlled Sensing
  • 2nd edition
  • Vikram Krishnamurthy
  • Coming soon
  • Expected online publication date:
    May 2025
    Print publication:
    31 May 2025
  • Covering formulation, algorithms and structural results and linking theory to real-world applications in controlled sensing (including social learning, adaptive radars and sequential detection), this book focuses on the conceptual foundations of partially observed Markov decision processes (POMDPs). It emphasizes structural results in stochastic dynamic programming, enabling graduate students and researchers in engineering, operations research, and economics to understand the underlying unifying themes without getting weighed down by mathematical technicalities. In light of major advances in machine learning over the past decade, this edition includes a new Part V on inverse reinforcement learning as well as a new chapter on non-parametric Bayesian inference (for Dirichlet processes and Gaussian processes), variational Bayes and conformal prediction.

Theory of Image Formation
  • 2nd edition
  • Richard E. Blahut
  • Published online:
    17 April 2025
    Print publication:
    24 April 2025
  • Fully revised and updated, the second edition of this classic text is the definitive guide to the mathematical models underlying imaging from sensed data. Building on fundamental principles derived from the two- and three-dimensional Fourier transform, and other key mathematical concepts, it introduces a broad range of imaging modalities within a unified framework, emphasising universal theoretical concepts over specific physical aspects. This expanded edition presents new coverage of optical-coherence microscopy, electron-beam microscopy, near-field microscopy, and medical imaging modalities including MRI, CAT, ultrasound, and the imaging of viruses, and introduces additional end-of-chapter problems to support reader understanding. Encapsulating the author's fifty years of experience in the field, this is the ideal introduction for senior undergraduate and graduate students, academic researchers, and professional engineers across engineering and the physical sciences.

Fundamentals of Digital Communication Systems
  • Tolga M. Duman
  • Published online:
    10 March 2025
    Print publication:
    23 January 2025
  • This dynamic textbook provides students with a concise and accessible introduction to the fundamentals of modern digital communications systems. Building from first principles, its comprehensive approach equips students with all of the mathematical tools, theoretical knowledge, and practical understanding they need to excel. It equips students with a strong mathematical foundation spanning signals and systems, probability, random variables, and random processes, and introduces students to key concepts in digital information sources, analog-to-digital conversion, digital modulation, power spectra, multi-carrier modulation, and channel coding. It includes over 85 illustrative examples, and more than 270 theoretical and computational end-of-chapter problems, allowing students to connect theory to practice, and is accompanied by downloadable Matlab code, and a digital solutions manual for instructors. Suitable for a single-semester course, this succinct textbook is an ideal introduction to the field of digital communications for senior undergraduate students in electrical engineering.

Channel Codes
  • Classical and Modern
  • 2nd edition
  • William E. Ryan, Shu Lin, Stephen G. Wilson
  • Published online:
    06 March 2025
    Print publication:
    21 November 2024
  • Channel coding lies at the heart of digital communication and data storage. Fully updated, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This new edition includes over 50 new end-of-chapter problems and new figures and worked examples throughout. The authors emphasize the practical approach and present clear information on modern channel codes, including turbo and low-density parity-check (LDPC) codes, detailed coverage of BCH codes, Reed-Solomon codes, convolutional codes, finite geometry codes, product codes as well as polar codes for error correction and detection, providing a one-stop resource for classical and modern coding techniques. Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then extend to advanced topics such as code ensemble performance analyses and algebraic code design.

Machine Learning with Python
  • Principles and Practical Techniques
  • Parteek Bhatia
  • Published online:
    22 February 2025
    Print publication:
    31 May 2025
  • Machine learning has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intelligence. This lucid textbook presents the theoretical foundations of machine learning algorithms, and then illustrates each concept with its detailed implementation in Python to allow beginners to effectively implement the principles in real-world applications. All major techniques, such as regression, classification, clustering, deep learning, and association mining, have been illustrated using step-by-step coding instructions to help inculcate a 'learning by doing' approach. The book has no prerequisites, and covers the subject from the ground up, including a detailed introductory chapter on the Python language. As such, it is going to be a valuable resource not only for students of computer science, but also for anyone looking for a foundation in the subject, as well as professionals looking for a ready reckoner.

Information Theory
  • From Coding to Learning
  • Yury Polyanskiy, Yihong Wu
  • Published online:
    09 January 2025
    Print publication:
    02 January 2025
  • This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning, equipping students with a uniquely well-rounded and rigorous foundation for further study. Introduces core topics such as data compression, channel coding, and rate-distortion theory using a unique finite block-length approach. With over 210 end-of-part exercises and numerous examples, students are introduced to contemporary applications in statistics, machine learning and modern communication theory. This textbook presents information-theoretic methods with applications in statistical learning and computer science, such as f-divergences, PAC Bayes and variational principle, Kolmogorov's metric entropy, strong data processing inequalities, and entropic upper bounds for statistical estimation. Accompanied by a solutions manual for instructors, and additional standalone chapters on more specialized topics in information theory, this is the ideal introductory textbook for senior undergraduate and graduate students in electrical engineering, statistics, and computer science.

Molecular Communication
  • 2nd edition
  • Tadashi Nakano, Andrew Eckford, Tokuko Haraguchi
  • Published online:
    12 December 2024
    Print publication:
    19 December 2024
  • Fully revised and updated, this second edition is a comprehensive introduction to molecular communication including the theory, applications, and latest developments. Written with accessibility in mind, it requires little background knowledge, and carefully introduces the relevant aspects of biology and information theory, as well as practical systems. Capturing the significant changes and developments in the past decade, this edition includes seven new chapters covering: the architecture of molecular communication; modelling of biological molecular communication; mobile molecular communication; macroscale systems; design of components and bio-nanomachine formations. The authors present the biological foundations followed by analyses of biological systems in terms of communication theory, and go on to discuss the practical aspects of designing molecular communication systems such as drug delivery, lab-on-a-chip, and tissue engineering. Including case studies and experimental techniques, this remains a definitive guide to molecular communication for graduate students and researchers in electrical engineering, computer science, and molecular biology.

Digital Communications
  • A Foundational Approach
  • Robert F. H. Fischer, Johannes B. Huber
  • Published online:
    22 November 2024
    Print publication:
    31 October 2024
  • Introducing the fundamentals of digital communication with a robust bottom-up approach, this textbook is designed to equip senior undergraduate and graduate students in communications engineering with the core skills they need to assess, compare, and design state-of-the-art digital communication systems. Delivering a fast, concise grounding in key algorithms, concepts, and mathematical principles, this textbook provides all the mathematical tools for understanding state-of-the-art digital communications. The authors prioritise readability and accessibility, to quickly get students up to speed on key topics in digital communication, and includes all relevant derivations. Presenting over 70 carefully designed multi-part end-of-chapter problems with over 360 individual questions, this textbook gauges student understanding and translates knowledge to real-world problem solving. Accompanied online by interactive visualizations of signals, downloadable Matlab code, and solutions for instructors.

Linear Algebra for Data Science, Machine Learning, and Signal Processing
  • Jeffrey A. Fessler, Raj Rao Nadakuditi
  • Published online:
    01 November 2024
    Print publication:
    16 May 2024
  • Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging 'explore' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.

Time-Variant and Quasi-separable Systems
  • Matrix Theory, Recursions and Computations
  • Patrick Dewilde, Klaus Diepold, Alle-Jan Van der Veen
  • Published online:
    24 October 2024
    Print publication:
    31 October 2024
  • Matrix theory is the lingua franca of everyone who deals with dynamically evolving systems, and familiarity with efficient matrix computations is an essential part of the modern curriculum in dynamical systems and associated computation. This is a master's-level textbook on dynamical systems and computational matrix algebra. It is based on the remarkable identity of these two disciplines in the context of linear, time-variant, discrete-time systems and their algebraic equivalent, quasi-separable systems. The authors' approach provides a single, transparent framework that yields simple derivations of basic notions, as well as new and fundamental results such as constrained model reduction, matrix interpolation theory and scattering theory. This book outlines all the fundamental concepts that allow readers to develop the resulting recursive computational schemes needed to solve practical problems. An ideal treatment for graduate students and academics in electrical and computer engineering, computer science and applied mathematics.

Signals, Systems, and Signal Processing
  • P. P. Vaidyanathan
  • Published online:
    29 August 2024
    Print publication:
    13 June 2024
  • This innovative introduction to the foundations of signals, systems, and transforms emphasises discrete-time concepts, smoothing the transition towards more advanced study in Digital Signal Processing (DSP). A digital-first approach, introducing discrete-time concepts from the beginning, equips students with a firm theoretical foundation in signals and systems, while emphasising topics fundamental to understanding DSP. Continuous-time approaches are introduced in later chapters, providing students with a well-rounded understanding that maintains a strong digital emphasis. Real-world applications, including music signals, signal denoising systems, and digital communication systems, are introduced to encourage student motivation. Early introduction of core concepts in digital filtering, DFT and FFT provide a frictionless transition through to more advanced study. Over 325 end-of-chapter problems, and over 50 computational problems using Matlab. Accompanied online by solutions and code for instructors, this rigorous textbook is ideal for undergraduate students in electrical engineering studying an introductory course in signals, systems, and signal processing.

Wireless Communications
  • Principles and Practice
  • 2nd edition
  • Theodore S. Rappaport
  • Published online:
    22 March 2024
    Print publication:
    08 February 2024
  • Now reissued by Cambridge University Press, the updated second edition of this definitive textbook provides an unrivaled introduction to the theoretical and practical fundamentals of wireless communications. Key technical concepts are developed from first principles, and demonstrated to students using over 50 carefully curated worked examples. Over 200 end-of-chapter problems, based on real-world industry scenarios, help cement student understanding. The book provides a thorough coverage of foundational wireless technologies, including wireless local area networks (WLAN), 3G systems, and Bluetooth along with refreshed summaries of recent cellular standards leading to 4G and 5G, insights into the new areas of mobile satellite communications and fixed wireless access, and extra homework problems. Supported online by a solutions manual and lecture slides for instructors, this is the ideal foundation for senior undergraduate and graduate courses in wireless communications.

Essays on Coding Theory
  • Ian F. Blake
  • Published online:
    08 March 2024
    Print publication:
    14 March 2024
  • Critical coding techniques have developed over the past few decades for data storage, retrieval and transmission systems, significantly mitigating costs for governments and corporations that maintain server systems containing large amounts of data. This book surveys the basic ideas of these coding techniques, which tend not to be covered in the graduate curricula, including pointers to further reading. Written in an informal style, it avoids detailed coverage of proofs, making it an ideal refresher or brief introduction for students and researchers in academia and industry who may not have the time to commit to understanding them deeply. Topics covered include fountain codes designed for large file downloads; LDPC and polar codes for error correction; network, rank metric, and subspace codes for the transmission of data through networks; post-quantum computing; and quantum error correction. Readers are assumed to have taken basic courses on algebraic coding and information theory.

Cryptoeconomics
  • Economic Mechanisms Behind Blockchains
  • Jing Li, Dusit Niyato, Zhu Han
  • Published online:
    06 January 2024
    Print publication:
    16 November 2023
  • The book offers a succinct overview of the technical components of blockchain networks, also known as distributed digital ledger networks. Written from an academic perspective, it surveys ongoing research challenges as well as existing literature. Several chapters illustrate how the mathematical tools of game theory and algorithmic mechanism design can be applied to the analysis, design, and improvement of blockchain network protocols. Using an engineering perspective, insights are provided into how the economic interests of different types of participants shape the behaviors of blockchain systems. Readers are thus provided with a paradigm for developing blockchain consensus protocols and distributed economic mechanisms that regulate the interactions of system participants, thus leading to desired cooperative behaviors in the form of system equilibria. This book will be a vital resource for students and scholars of this budding field.

Resilience Engineering for Power and Communications Systems
  • Networked Infrastructure in Extreme Events
  • Alexis Kwasinski, Andres Kwasinski, Vaidyanathan Krishnamurthy
  • Published online:
    04 January 2024
    Print publication:
    18 January 2024
  • Power and communications networks are uniquely important in times of disaster. Drawing on twenty years of first-hand experience in critical infrastructure disaster forensics, this book will provide you with an unrivalled understanding of how and why power and communication networks fail. Discover key concepts in network theory, reliability, and resilience, and see how they apply to critical infrastructure modelling. Explore real-world case-studies of power grid and information and communication network (ICN) performance and recovery during earthquakes, wildfires, tsunamis, and other natural disasters; as well as man-made disasters. Understand the fundamentals of disaster forensics, learn how to apply these principles to your own field investigations, and identify practical, relevant strategies, technologies and tools for improving power and ICN resilience. With over 350 disaster-site photographs of real-world power and ICN equipment, this is the ideal introduction to resilience engineering for professional engineers and academic researchers working in power and ICN system resilience.

Magnetic Communications
  • Theory and Techniques
  • Erwu Liu, Zhi Sun, Rui Wang, Hongzhi Guo
  • Published online:
    04 January 2024
    Print publication:
    18 January 2024
  • The ideal reference book providing all the information needed to fully understand magnetic communications in a self-contained source, written by experts in the field. This book offers a comprehensive introduction to magnetic communication using easy-to-understand language to explain concepts throughout and introduces the theory step by step with examples. A careful balance of combined theoretical and practical perspective is given throughout the book with interdisciplinary and multidisciplinary considerations for in-depth and diverse understanding. This book covers the background, developments, fundaments, antennas, channels, performance, protocol related to magnetic communications as well as applications that are of current interest, such as IoT, MIMO and wireless power transfer. The figures of merit within magnetic communication system components are included, demonstrating how to both model and analyze them. This book will be of great benefit to graduate students, researchers, and electrical engineers working in the fields of wireless communications and the internet of things.

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