Bookcover of Adaptive Equalization Algorithms
Booktitle:

Adaptive Equalization Algorithms

For Periodically Varying Fading Channels

LAP LAMBERT Academic Publishing (2012-10-12 )

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ISBN-13:

978-3-659-26191-6

ISBN-10:
3659261912
EAN:
9783659261916
Book language:
English
Blurb/Shorttext:
Digital transmission systems such as voice and video communications are superior to analog transmission in mainly due to its higher reliability in noisy environments. However, a majority of digital communication transmission is faced with a common phenomenon known as intersymbol interference (ISI). In this case, the received data (pulses), which correspond to different symbols, are not completely separated. They are smeared out and the separation depends on the transmission media which causes the ISI. The transmission media are mainly cable lines or cellular communication. Traditionally, either static or dynamic (adaptive) equalizers solve the problem of amplitude and phase dispersion that results in ISI of the received signals. Hence, it is clear that careful equalization is required whenever we need to employ a reliable digital transmission system. This book explores two existing adaptive equalization algorithms, namely, exponentially weighted basis function (EWBF), gradient basis function Gradient-BF, and contributes by proposing a new efficient BF estimator termed as recursive inverse basis function (RIBF).Furthermore, a frequency-adaptive version of RIBF estimator is derived.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Qadri Mayyala
Number of pages:
108
Published on:
2012-10-12
Stock:
Available
Category:
Other
Price:
49.00 €
Keywords:
Basis function algorithms, systems identification, nonstationary processes, periodically varying systems, adaptive filters.

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