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Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
Abstract
From the Publisher: Digital Communication Receivers offers a complete treatment on the theoretical and practical aspects of synchronization and channel estimation from the standpoint of digital signal processing. The focus on these increasingly important topics, the systematic approach to algorithm development, and the linked algorithm-architecture methodology in digital receiver design are unique features of this book. The material is structured according to different classes of transmission channels. In Part C, baseband transmission over wire or optical fiber is addressed. Part D covers passband transmission over satellite or terrestrial wireless channels. Part E deals with transmission over fading channels. Designed for the practicing communication engineer and the graduate student, the book places considerable emphasis on helpful examples, summaries, illustrations, and bibliographies. Contents include basic material, baseband communications, passband transmission, receiver structure for PAM signals, synthesis of synchronization algorithms, performance analysis of synchronizers, bit error degradation caused by random tracking errors, frequency estimation, timing adjustment by interpolation, DSP system implementation, characterization, modeling, and simulation of linear fading channels, detection and parameter synchronization on fading channels, receiver structures for fading channels, parameter synchronization for flat fading channels, and parameter synchronization for sel…
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The estimation processes for parameters to seed transformations such as re-sampling, mixing, and inverse channel convolution are often very involved and specialized based on signal-specific properties and/or information from pilot tones.
“The estimation processes for parameters to seed these transformations (e.g., frequency offset, symbol timing, impulse response) is often very involved and specialized based on signal specific properties and/or information from pilot tones (see, e.g., [3]).”
From An Introduction to Deep Learning for the Physical Layer (2017) · cites this paper as [3]
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An Introduction to Deep Learning for the Physical Layer
O'Shea, T., & Hoydis, J. (2017) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2017.2758370 · Cited by 2,980
Fractional Delay Filters—Design and Applications
Välimäki, V., & Laakso, T. I. (2001) · Information Technology: Transmission, Processing, and Storage · doi:10.1007/978-1-4615-1229-5_20 · Cited by 32
Metadata
- Authors
- Meyr, H., Moeneclaey, M., & Fechtel, S. A.
- ORCID
- Moeneclaey, Marc
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2001-10-09
- OpenAlex
- W1479887491
- Cited by
- 1,158
- References
- 0
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 17 · 2023: 16 · 2022: 17 · 2021: 20 · 2020: 23 · 2019: 35 · 2018: 30 · 2017: 23 · 2016: 30 · 2015: 41 · 2014: 46 · 2013: 44 · 2012: 51
- FWCI
- 42.97
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- John Wiley & Sons, Inc. eBooks
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Techniques
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Communication Networks Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Signal Processing Techniques
- Keywords
- digital communication receivers, synchronization, channel estimation, digital signal processing, baseband transmission, fading channels, frequency estimation, timing synchronization, interpolation, receiver design, frequency-selective fading, flat fading, parameter synchronization, bit error rate
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