Finite-state Markov modeling of fading channels-a survey of principles and applications

P Sadeghi, RA Kennedy, PB Rapajic… - IEEE Signal …, 2008 - ieeexplore.ieee.org
This article's goal is to provide an in-depth understanding of the principles of FSMC
modeling of fading channels with its applications in wireless communication systems. While …

The capacity of channels with feedback

S Tatikonda, S Mitter - IEEE Transactions on Information …, 2008 - ieeexplore.ieee.org
In this paper, we introduce a general framework for treating channels with memory and
feedback. First, we prove a general feedback channel coding theorem based on Massey's …

Tutorial review of bio-inspired approaches to robotic manipulation for space debris salvage

A Ellery - Biomimetics, 2020 - mdpi.com
We present a comprehensive tutorial review that explores the application of bio-inspired
approaches to robot control systems for grappling and manipulating a wide range of space …

Signal processing and coding techniques for 2-D magnetic recording: An overview

SS Garani, L Dolecek, J Barry, F Sala… - Proceedings of the …, 2018 - ieeexplore.ieee.org
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 …

Remote estimation over a packet-drop channel with Markovian state

J Chakravorty, A Mahajan - IEEE Transactions on Automatic …, 2019 - ieeexplore.ieee.org
We investigate a remote estimation problem in which a transmitter observes a Markov
source and chooses the power level to transmit it over a time-varying packet-drop channel …

Feedback capacity of stationary Gaussian channels

YH Kim - IEEE Transactions on Information Theory, 2009 - ieeexplore.ieee.org
The feedback capacity of additive stationary Gaussian noise channels is characterized as
the solution to a variational problem in the noise power spectral density. When specialized …

Finite state channels with time-invariant deterministic feedback

HH Permuter, T Weissman… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
We consider capacity of discrete-time channels with feedback for the general case where
the feedback is a time-invariant deterministic function of the output samples. Under the …

A generalization of the Blahut–Arimoto algorithm to finite-state channels

PO Vontobel, A Kavcic, DM Arnold… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
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 …

Capacity of the trapdoor channel with feedback

H Permuter, P Cuff, B Van Roy… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
We establish that the feedback capacity of the trapdoor channel is the logarithm of the
golden ratio and provide a simple communication scheme that achieves capacity. As part of …

Universal learning waveform selection strategies for adaptive target tracking

CE Thornton, RM Buehrer, HS Dhillon… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Online selection of optimal waveforms for target tracking with active sensors has long been a
problem of interest. Many conventional solutions utilize an estimation-theoretic …