The information rate of finite-state source/channel models can be accurately estimated by
sampling both a long channel input sequence and the corresponding channel output …

This paper proposes a new approach to magnetic recording based on shingled writing and
two-dimensional readback and signal-processing. This approach continues the use of …

Turbo equalization is an iterative equalization and decoding technique that can achieve
equally impressive performance gains for communication systems that send digital data over …

We study the limits of performance of Gallager codes (low-density parity-check (LDPC)
codes) over binary linear intersymbol interference (ISI) channels with additive white …

Two-dimensional magnetic recording (TDMR) is an emerging storage technology that aims
to achieve areal densities on the order of 10 Tb/in 2, mainly driven by innovative channels …

Rapid advances in recording materials, read/write heads, and mechanical designs over the
last 15 years have led to the need for more complicated signal processing, coding, and …

The classical Blahut-Arimoto algorithm (BAA) is a well-known algorithm that optimizes a
discrete memoryless source (DMS) at the input of a discrete memoryless channel (DMC) in …

We consider a finite-state machine channel with a finite memory length (eg, finite length
intersymbol interference channels with finite input alphabets-also known as partial response …

A bandlimited additive white Gaussian noise channel is considered where the output is 1-bit
quantized and oversampled with respect to the Nyquist rate. We consider root raised cosine …

Analog-to-digital conversion with high resolution in amplitude has a relatively high energy
consumption in communication systems. A promising alternative to reduce the energy …