Journal ArticleDOI
Error control coding
L. Litwin,K. Ramaswamy +1 more
TLDR
The basic goal in digital communications is to transport bits of information without losing too much information along the way, but the level of information loss that is tolerable/acceptable varies for different applications.Abstract:
The basic goal in digital communications is to transport bits of information without losing too much information along the way. The level of information loss that is tolerable/acceptable varies for different applications. The loss is measured in terms of the bit error rate, or BER. An interesting application that employs error control coding is a system with a storage medium such as a hard disk drive or a compact disc (CD). We can think of the channel as a block that causes errors to occur when a signal passes through it. Regardless of the error source, we can describe the problem as follows: when the transmitted signal arrives at the receiver after passing through the channel, the received data will have some bits that are in error. The system designer would like to incorporate ways to detect and correct these errors. The field that covers such digital processing techniques is known as error control coding.read more
Citations
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Journal ArticleDOI
Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing
TL;DR: To achieve efficient data dynamics, the existing proof of storage models are improved by manipulating the classic Merkle Hash Tree construction for block tag authentication, and an elegant verification scheme is constructed for the seamless integration of these two salient features in the protocol design.
Journal ArticleDOI
Turbo equalization: principles and new results
TL;DR: It is shown that the performance of the new approaches to combining equalization based on linear filtering, with decoding is similar to the trellis-based receiver, while providing large savings in computational complexity.
Journal ArticleDOI
Outage Capacity Optimization for Free-Space Optical Links With Pointing Errors
A.A. Farid,Steve Hranilovic +1 more
TL;DR: A statistical model for the optical intensity fluctuation at the receiver due to the combined effects of atmospheric turbulence and pointing errors is derived and the effect of beam width, detector size, and jitter variance explicitly is considered.
Journal ArticleDOI
Minimum mean squared error equalization using a priori information
TL;DR: This work explores a number of low-complexity soft-input/soft-output (SISO) equalization algorithms based on the minimum mean square error (MMSE) criterion and shows that for the turbo equalization application, the MMSE-based SISO equalizers perform well compared with a MAP equalizer while providing a tremendous complexity reduction.
Book
Information Theoretic Security
TL;DR: Information Theoretic Security surveys the research dating back to the 1970s which forms the basis of applying this technique in modern systems to achieve secrecy for a basic wire-tap channel model as well as for its extensions to multiuser networks.
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