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Digital baseband transmission and recording

TLDR
Digital Baseband Transmission and Recording provides an integral, in-depth and up-to-date overview of the signal processing techniques that are at the heart of digital baseband transmission and recording systems.
Abstract
From the Publisher: Digital Baseband Transmission and Recording provides an integral, in-depth and up-to-date overview of the signal processing techniques that are at the heart of digital baseband transmission and recording systems. The coverage ranges from fundamentals to applications in such areas as digital subscriber loops and magnetic and optical storage. Much of the material presented here has never before appeared in book form. The main features of Digital Baseband Transmission and Recording include: -- a survey of digital subscriber lines and digital magnetic and optical storage; -- a review of fundamental transmission and reception limits; -- an encyclopedic introduction to baseband modulation codes; -- development of a rich palette of equalization techniques; -- a coherent treatment of Viterbi detection and many near-optimum detection schemes; -- an overview of adaptive reception techniques that encompasses adaptive gain and slope control, adaptive detection, and novel forms of zero-forcing adaptation; -- an in-depth review of timing recovery and PLLs, with an extensive catalog of timing-recovery schemes. Featuring around 450 figures, 200 examples, 350 problems and exercises, and 750 references, Digital Baseband Transmission and Recording is an essential reference source to engineers and researchers active in telecommunications and digital recording. It will also be useful for advanced courses in digital communications.

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Citations
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Proceedings ArticleDOI

An FPGA based DPLL with fuzzy logic controllable loop filters

TL;DR: A novel Digital PLL is proposed with a type-2 fuzzy logic controller for improving compatibility with noise and user dynamic in digital receivers and shows better response to phase step, input signal jitter, frequency step and ramp signals.
Proceedings Article

Analog timing recovery for noise–predictive DFE

TL;DR: A timing recovery architecture and its CMOS implementation are described for a noise-predictive decision-feedback equalizer (NPDFE) that operates at 160Mbps and dissipates 27mW from 3.3V.
Journal ArticleDOI

Timing recovery for the magnetic recording channel using the wave difference method

TL;DR: A simple class of prefilter that significantly improves the signal-to-interference ratio of the generated timing-error estimate is described and allows a simple implementation based on an absolute value, rather than squaring or fourth-order nonlinearity.
Journal ArticleDOI

Loop Dynamics Analysis of PAM-4 Mueller–Muller Clock and Data Recovery System

TL;DR: An accurate linear model of linear and signed Mueller–Muller phase detector for baud-rate clock recovery is formulates and results show that, to achieve high CDR loop bandwidth with a good jitter tolerance, the phase detector gain to noise ratio should be maximized, andCDR loop latency should be minimized.
Journal ArticleDOI

Loose composite constraint codes and their application in DVD

TL;DR: This work introduces a low-complexity encoder structure for composite constraints, based on loose multimode codes, and modify the EFM+ code used in digital versatile disk (DVD) to combine E FM+'s run-length constraint with the first- and second-order spectral-null constraints.
References
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Book

Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Book

Digital Communications

Book

Adaptive Filter Theory

Simon Haykin
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Book

Information Theory and Reliable Communication

TL;DR: This chapter discusses Coding for Discrete Sources, Techniques for Coding and Decoding, and Source Coding with a Fidelity Criterion.
Book

Adaptive Signal Processing

TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.