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"
A new enhanced binary ghost canceling reference signal for TV ghosts
"
W. A.-E. Abu Al-Saud
Document Type
:
Latin Dissertation
Language of Document
:
English
Record Number
:
1112830
Doc. No
:
TLpq304303400
Main Entry
:
W. A.-E. Abu Al-Saud
Title & Author
:
A new enhanced binary ghost canceling reference signal for TV ghosts\ W. A.-E. Abu Al-Saud
College
:
King Fahd University of Petroleum and Minerals (Saudi Arabia)
Date
:
1996
student score
:
1996
Degree
:
M.S.
Page No
:
153
Abstract
:
Ghost Canceling Reference (GCR) signals have been introduced for the purpose of identifying the characteristics of TV channels. The identification of a certain channel enables removing most ghost components that are introduced in the video signal by ghost channel. One important feature that is required in a GCR signal is its ability excite most of the channel modes in order for the receiver to identify the channel completely. Other features are the simplicity of generating it at the transmitter and detecting it at the receiver with the minimum possible hardware, and also simplifying the process of channel identification from the viewpoint of having simple calculations and fast adaptation to channel variations. A new GCR sequence is proposed in this thesis. It is based on a bipolar binary (+1 or 1) GCR signal. This binary GCR enables the receiver end to determine the channel characteristics (transfer function coefficients) in a non-iterative way, which speeds up the cancellation of ghosts. The technique also requires neither multiplication nor division to be performed in the process of channel identification. Only additions and subtractions are required. This feature dramatically boosts the speed of the ghost canceller, lowers its cost, and simplifies its implementation. The identification of the ghost channel using this GCR can be used along with a suitable algorithm to find the optimum tap coefficients of the equalizer which removes the image ghosts. In comparison with existing GCR signals, the proposed approach is seen to be more efficient.
Subject
:
Applied sciences
:
Electrical engineering
https://lib.clisel.com/site/catalogue/1112830
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304303400_25875.pdf
304303400.pdf
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