Communications engineering / telecommunications Books
Cambridge University Press Information Theory
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£162.45
Cambridge University Press Advanced Optical Wireless Communication Systems
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£128.25
Cambridge University Press Multiuser Detection
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£47.49
Cambridge University Press Signal Coding and Processing
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£59.84
Cambridge University Press Digital Signal Transmission
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£58.89
Cambridge University Press Ultrafast Fiber Switching Devices and Systems 12 Cambridge Studies in Modern Optics Series Number 12
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£89.30
Cambridge University Press The Space and Motion of Communicating Agents
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£65.54
Cambridge University Press Optimal Combining and Detection
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£91.19
Cambridge University Press Applied Speech and Audio Processing
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£67.44
Cambridge University Press Coding Theory
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£48.44
Cambridge University Press Liquid Crystalline Polymers
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£92.14
Cambridge University Press Analysis of Variance in Statistical Image Processing
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£118.75
Cambridge University Press Multiuser Detection
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£98.80
Cambridge University Press Applied Neural Networks for Signal Processing
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£57.94
Cambridge University Press Epidemics and Rumours in Complex Networks 369 London Mathematical Society Lecture Note Series Series Number 369
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£57.94
Cambridge University Press Digital Satellite Navigation and Geophysics
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£73.14
Cambridge University Press Signal Processing and Optimization for Transceiver Systems
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£117.80
Cambridge University Press Handbook of Hybrid Systems Control Theory Tools Applications
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£112.10
Cambridge University Press Signal Design for Good Correlation
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£99.75
Cambridge University Press Coding Theory
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£109.25
Cambridge University Press Next Generation Mobile Access Technologies Implementing TDD
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£70.19
Cambridge University Press Modern Signal Processing 46 Mathematical Sciences Research Institute Publications Series Number 46
Modern Signal Processing 46 Mathematical Sciences | BookCurl
£81.70
Cambridge University Press Bootstrap Techniques for Signal Processing
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£118.75
Cambridge University Press Introduction to Semiconductor Devices For Computing and Telecommunications Applications
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£121.60
Cambridge University Press Measure Theory and Filtering Introduction and Applications Cambridge Series in Statistical and Probabilistic Mathematics Series Number 15
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£74.09
Cambridge University Press Peak Power Control in Multicarrier Communications
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£118.75
Cambridge University Press Integrated Frequency Synthesizers for Wireless Systems
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£154.85
Cambridge University Press Probability and Random Processes for Electrical and Computer Engineers
Book SynopsisThe theory of probability has important applications for computer and electrical engineers as a tool to explain, model, analyse and design the technology they develop. Gubner presents the fundamentals of probability, then progresses to more complicated topics. Suitable for advanced undergraduates, graduates and as a reference for researchers.Trade Review'… stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes.' IEEE SoftwareTable of ContentsPreface; 1. Introduction to probability; 2. Introduction to discrete random variables; 3. More about discrete random variables; 4. Continuous random variables; 5. Cumulative distribution functions and their applications; 6. Statistics; 7. Bivariate random variables; 8. Introduction to random vectors; 9. Gaussian random vectors; 10. Introduction to random processes; 11. Advanced concepts in random processes; 12. Introduction to Markov chains; 13. Mean convergence and applications; 14. Other modes of convergence; 15. Self similarity and long-range dependence; Bibliography; Index.
£71.24
Cambridge University Press Combinatorics and Probability
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£137.75
Cambridge University Press Iterative Receiver Design
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£66.49
Cambridge University Press Security and Cooperation in Wireless Networks Thwarting Malicious and Selfish Behavior in the Age of Ubiquitous Computing
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£66.49
Cambridge University Press Multiapplication Smart Cards Technology and Applications
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£99.75
Cambridge University Press Deploying Wireless Networks
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£76.94
Cambridge University Press Essentials of Radio Wave Propagation
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£64.59
Cambridge University Press Essentials of Wireless Mesh Networking
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£57.94
Cambridge University Press Principles of Digital Communication
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£63.64
Cambridge University Press Design Measurement and Management of LargeScale IP Networks
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£82.64
Cambridge University Press Classical and Quantum Information Theory An Introduction for the Telecom Scientist
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£90.24
Cambridge University Press Digital Signal Processing System Analysis and Design
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£49.39
Cambridge University Press Network
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£57.95
Cambridge University Press Digital Signal Compression Principles and Practice
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£78.84
Cambridge University Press Fundamentals of Digital Communication Systems
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£71.24
Cambridge University Press Digital Communications
Book Synopsis
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Cambridge University Press Classical and Quantum Information Theory
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£85.50
Cambridge University Press The Mathematics of Signal Processing Cambridge Texts in Applied Mathematics Series Number 48
Book SynopsisArising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of which have been chosen to prepare the reader for the applications to come. The book includes rigorous proofs of core results in compressive sensing and wavelet convergence. Fundamental is the treatment of the linear system y=Îx in both finite and infinite dimensions. There are three possibilities: the system is determined, overdetermined or underdetermined, each with different aspects. The authors assume only basic familiarity with advanced calculus, linear algebra and matrix theory and modest familiarity with signal processing, so the book is accessible to students from the advanced undergraduate level. Many exercises are also included.Trade Review'Damelin and Miller provide a very detailed and thorough treatment of all the important mathematics related to signal processing. This includes the required background information found in elementary mathematics courses, so their book is really self-contained. The style of writing is suitable not only for mathematicians, but also for practitioners from other areas. Indeed, Damelin and Miller managed to write their text in a form that is accessible to nonspecialists, without giving up mathematical rigor.' Kai Diethelm, Computing Reviews'In the last 20 years or so, many books on wavelets have been published; most of them deal with wavelets from either the engineering or the mathematics perspective, but few try to connect the two viewpoints. The book under review falls under the last category … Overall, the book is a good addition to the literature on engineering mathematics.' Ahmed I. Zayed, Mathematical ReviewsTable of Contents1. Introduction; 2. Normed vector spaces; 3. Analytic tools; 4. Fourier series; 5. Fourier transforms; 6. Compressive sensing; 7. Discrete transforms; 8. Linear filters; 9. Windowed Fourier transforms, continuous wavelets, frames; 10. Multiresolution analysis; 11. Discrete wavelet theory; 12. Biorthogonal filters and wavelets; 13. Parsimonious representation of data; Bibliography; Index.
£105.45
Cambridge University Press A Students Guide to Coding and Information Theory
Book SynopsisA concise, easy-to-read guide, introducing beginners to the engineering background of modern communication systems, from mobile phones to data storage. Assuming only basic knowledge of high-school mathematics and including many practical examples and exercises to aid understanding, this is ideal for anyone who needs a quick introduction to the subject.Trade Review'The book is nicely written, and is recommended as a textbook for a one-semester introductory course on coding and information theory.' Pushpa N. Rathie, Zentralblatt MATHTable of Contents1. Introduction Chung-Hsuan Wang; 2. Error-detecting codes Chung-Hsuan Wang; 3. Repetition and hamming codes Francis Lu; 4. Data compression: efficient coding of a random message; 5. Entropy and Shannon's source coding theorem; 6. Mutual information and channel capacity Jwo-Yuh Wu; 7. Achieving the Shannon limit by turbo coding; 8. Other aspects of coding theory Francis Lu.
£64.60
Cambridge University Press Foundations of Signal Processing
Book SynopsisThis comprehensive, accessible textbook covers the basics of signal processing, building up from fundamental principles to practical applications. It uses engineering notation to make mathematical concepts easy to follow, includes numerous homework problems and is accompanied by an extensive Mathematica® companion and instructor solutions manual.Trade Review'This is a major book about a serious subject - the combination of engineering and mathematics that goes into modern signal processing: discrete time, continuous time, sampling, filtering, and compression. The theory is beautiful and the applications are so important and widespread.' Gil Strang, Massachusetts Institute of Technology'A refreshing new approach to teaching the fundamentals of signal processing. Starting from basic concepts in algebra and geometry, [the authors] bring the reader to deep understandings of modern signal processing. Truly a gem!' Rico Malvar, Microsoft Research'A wonderful book that connects together all the elements of modern signal processing … it's all here and seamlessly integrated, along with a summary of history and developments in the field. A real tour-de-force, and a must-have on every signal processor's shelf!' Robert D. Nowak, University of Wisconsin, Madison'Finally a wonderful and accessible book for teaching modern signal processing to undergraduate students.' Stéphane Mallat, École Normale Supérieure'Most introductory signal processing textbooks focus on classical transforms, and study how these can be used. Instead, Foundations of Signal Processing encourages readers to think of signals first. It develops a 'signal-centric' view, one that focuses on signals, their representation and approximation, through the introduction of signal spaces. Unlike most entry-level signal processing texts, this general view, which can be applied to many different signal classes, is introduced right at the beginning. From this, starting from basic concepts, and placing an emphasis on intuition, this book develops mathematical tools that give the readers gets a fresh perspective on classical results, while providing them with the tools to understand many state of the art signal representation techniques.' Antonio Ortega, University of Southern California'Foundations of Signal Processing … is a pleasure to read. Drawing on the authors' rich experience of research and teaching of signal processing and signal representations, it provides an intellectually cohesive and modern view of the subject from the geometric point of view of vector spaces. Emphasizing Hilbert spaces, where fine technicalities can be relegated to backstage, this textbook strikes an excellent balance between intuition and mathematical rigor, that will appeal to both undergraduate and graduate engineering students. The last two chapters, on sampling and interpolation, and on localization and uncertainty, take full advantage of the machinery developed in the previous chapters to present these two very important topics of modern signal processing, that previously were only found in specialized monographs. The explanations of advanced topics are exceptionally lucid, exposing the reader to the ideas and thought processes behind the results and their derivation. Students will learn … why things work, at a deep level, which will equip them for independent further reading and research. I look forward to using this text in my own teaching.' Yoram Bresler, University of Illinois, Urbana-ChampaignTable of Contents1. On rainbows and spectra; 2. From Euclid to Hilbert: 2.1 Introduction; 2.2 Vector spaces; 2.3 Hilbert spaces; 2.4 Approximations, projections, and decompositions; 2.5 Bases and frames; 2.6 Computational aspects; 2.A Elements of analysis and topology; 2.B Elements of linear algebra; 2.C Elements of probability; 2.D Basis concepts; Exercises with solutions; Exercises; 3. Sequences and discrete-time systems: 3.1 Introduction; 3.2 Sequences; 3.3 Systems; 3.4 Discrete-time Fourier Transform; 3.5 z-Transform; 3.6 Discrete Fourier Transform; 3.7 Multirate sequences and systems; 3.8 Stochastic processes and systems; 3.9 Computational aspects; 3.A Elements of analysis; 3.B Elements of algebra; Exercises with solutions; Exercises; 4. Functions and continuous-time systems: 4.1 Introduction; 4.2 Functions; 4.3 Systems; 4.4 Fourier Transform; 4.5 Fourier series; 4.6 Stochastic processes and systems; Exercises with solutions; Exercises; 5. Sampling and interpolation: 5.1 Introduction; 5.2 Finite-dimensional vectors; 5.3 Sequences; 5.4 Functions; 5.5 Periodic functions; 5.6 Computational aspects; Exercises with solutions; Exercises; 6. Approximation and compression: 6.1 Introduction; 6.2 Approximation of functions on finite intervals by polynomials; 6.3 Approximation of functions by splines; 6.4 Approximation of functions and sequences by series truncation; 6.5 Compression; 6.6 Computational aspects; Exercises with solutions; Exercises; 7. Localization and uncertainty: 7.1 Introduction; 7.2 Localization for functions; 7.3 Localization for sequences; 7.4 Tiling the time–frequency plane; 7.5 Examples of local Fourier and wavelet bases; 7.6 Recap and a glimpse forward; Exercises with solutions; Exercises.
£59.84
Cambridge University Press Hyperspectral Imaging Remote Sensing Physics Sensors and Algorithms
Book SynopsisA practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems, how to choose the best algorithm for a particular application, and how to process and interpret hyperspectral imaging data. A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and viewgraphs for instructors. This is an essential text for senior undergraduate and graduate students looking to learn the fundamentals of imaging spectroscopy, and an invaluable reference for scientists and engineers working in the field.Trade Review'The authors have done a masterful job of integrating and presenting the diverse subjects that form the foundation of the field of hyperspectral imaging and applications. This comprehensive textbook will clearly become one of the standard references for all who wish to learn about both fundamentals and advanced applications in this important field.' Charles Bachmann, Rochester Institute of Technology, New York'An extraordinarily comprehensive treatment of hyperspectral remote sensing by three of the field's noted authorities. An indispensable reference for those new to the field and for the seasoned professional.' Ronald G. Resmini, George Mason University, Virginia'The authors have offered a comprehensive and up-to-date treatment of hyperspectral imaging modalities. A wide readership, including scientists and graduate students involved with spectral imaging modalities, could benefit from this book.' Axel Mainzer Koenig, Optics and PhotonicsTable of Contents1. Introduction; 2. The remote sensing environment; 3. Spectral properties of materials; 4. Imaging spectrometers; 5. Imaging spectrometer characterization and data calibration; 6. Radiative transfer and atmospheric compensation; 7. Statistical models for spectral data; 8. Linear spectral transformations; 9. Spectral mixture analysis; 10. Signal detection theory; 11. Hyperspectral data exploitation; Appendix. Introduction to Gaussian optics.
£75.04
