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Adaptive equalization in magnetic-disk storage channels

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TLDR
The use of adaptive equalization to increase storage density and equalization methods for peak detection and for sampling detection are discussed, and gains in both linear and areal density are addressed.
Abstract
The use of adaptive equalization to increase storage density is discussed. Adaptive equalization is attractive since it permits a significant reduction in manufacturing costs by allowing a greater component yield due to relaxed tolerances and also permits a reduction in servicing costs because of a reduced need for fine-tuning on the customer's premises. The differences between data storage and data transmission channels are examined. The storage channel's important signal-processing characteristics are described, covering read and write processes, detection methods, and various types of distortion that can occur in storage channels. The use of signal-to-noise ratio as a performance measure is considered. Equalization methods for peak detection and for sampling detection are discussed. Gains in both linear and areal (track) density are addressed. Some of the basic performance advantages of using adaptive equalization are illustrated. The future of communication technology in storage systems is assessed. >

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Citations
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The finite-length multi-input multi-output MMSE-DFE

TL;DR: A new theoretical framework is introduced for analyzing the performance of a finite length minimum-mean-square error decision feedback equalizer (MMSE-DFE) in a multi-input multi-output (MIMO) environment and quantifies the diversity performance improvement as a function of the number of transmit/receive antennas and equalizer taps.
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A bibliography on nonlinear system identification

TL;DR: The present bibliography represents a comprehensive list of references on nonlinear system identification and its applications in signal processing, communications, and biomedical engineering.
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Lexical frequency and acoustic reduction in spoken Dutch

TL;DR: To accommodate for these findings, models of speech production should allow word frequency to affect the acoustic realizations of lower-level units, such as individual speech sounds occurring in affixes.
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Modulation and coding for information storage

TL;DR: It is shown that the introduction of partial response equalization, sampling detection, and digital signal processing has set the stage for the invention and application of advanced modulation and coding techniques in future storage products.
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Equalization in high-speed communication systems

TL;DR: Two equalization approaches - transmitter pre-emphasis and receiver equalization, are reviewed, in addition to various adaptation criteria and algorithms, for low-cost transmission media for over Gbps data transmissions.
References
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Journal ArticleDOI

Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference

TL;DR: In this paper, a maximum likelihood sequence estimator for a digital pulse-amplitude-modulated sequence in the presence of finite intersymbol interference and white Gaussian noise is developed, which comprises a sampled linear filter, called a whitened matched filter, and a recursive nonlinear processor, called the Viterbi algorithm.
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Adaptive Maximum-Likelihood Receiver for Carrier-Modulated Data-Transmission Systems

TL;DR: A uniform receiver structure for linear carrier-modulated data-transmission systems is derived which for decision making uses a modified version of the Viterbi algorithm, which operates directly on the output signal of a complex matched filter and requires no squaring operations.
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Timing Recovery in Digital Synchronous Data Receivers

TL;DR: A new class of fast-converging timing recovery methods for synchronous digital data receivers is investigated, and a general method is outlined to obtain near-minimum-variance estimates of the timing offset with respect to a given steady-state sampling criterion.
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A class of partial response systems for increasing storage density in magnetic recording

TL;DR: In this paper, a class of partial response systems of the form P n (D) = (1 - D)(1 + D)n, where D is the delay operator and n is a non-negative integer, is described for the spectral shaping of the readback signal to achieve higher recording densities.
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Viterbi Detection of Class IV Partial Response on a Magnetic Recording Channel

TL;DR: The application of Viterbi detection to Class IV partial response on a magnetic recording channel is discussed and an advantage of approximately 1.5 dB in effective signal-to-noise ratio is gained over a simple level detector, a result which agrees well with the theoretical development.
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