Author: Nam Chan PhamdoPublisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 272
Book Description
Quantization Over Discrete Noisy Channels Under Complexity Constraints
Author: Nam Chan PhamdoPublisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 272
Book Description
Quantization Over Discrete Noisy Channels Using Rate-one Convolutional Codes
Author: N. PhamdoProceedings of the ... Conference on Information Sciences and Systems
Author: Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 718
Book Description
Dissertation Abstracts International
Author: Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 886
Book Description
Stochastic Control and Filtering over Constrained Communication Networks
Author: Qinyuan LiuPublisher: Springer
ISBN: 3030001571
Category : Technology & Engineering
Languages : en
Pages : 233
Book Description
Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book’s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
Robust Quantization for Transmission Over Noisy Channels
Author: Qing ChenPublisher:
ISBN:
Category : Data transmission systems
Languages : en
Pages : 124
Book Description
Information Theory, Inference and Learning Algorithms
Author: David J. C. MacKayPublisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
Book Description
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Joint and Tandem Source-channel Coding with Complexity and Delay Constraints
Author: Jongtae LimSignal Processing in Telecommunications
Author: Ezio BiglieriPublisher: Springer Science & Business Media
ISBN: 1447110137
Category : Technology & Engineering
Languages : en
Pages : 453
Book Description
It is probably an overstatement to say that the discipline of telecommunication systems is becoming an application of digital signal processing (DSP). However, there is no doubt that by the mid-I980s integrated circuit technology has advanced to such an extent that revolutionary advances in telecommunications are fostered by the introduction of new and poweiful DSP algorithms. Actually, DSP has been recently playing a major role in the development of telecommuni cations systems: to name just one of the most widespread applications where this interaction has been most effective, we may mention the use of intelligent DSP to improve the peiformance of transmission systems by allowing sophisticated algorithm to be implemented in radio transmitters and receivers for personal communications. Other areas have equally benefited by the latest advances of DSP: speech coding and synthesis, speech recognition and enhancement, radar, sonar, digital audio, and remote sensing, just to cite afew. With this in mind, when choosing the topic for the 7th Tyrrhenian Workshop on Digital Communications, whose contributions are collected in this book, we aimed at focusing on the state of the art and the perspectives of the interaction between DSP and telecommunications, two disciplines that are becoming increasingly intertwined. Although by no means exhaustive of all the applications of DSP to telecommu nications, we believe that the material presented in this book pinpoints the most interesting among them, and hence it will be considered as a useful tool for investigating this complex and highly challenging field.
Machine Learning and Wireless Communications
Author: Yonina C. EldarPublisher: Cambridge University Press
ISBN: 1108832989
Category : Computers
Languages : en
Pages : 559
Book Description
Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.