عنوان

A new enhanced binary ghost canceling reference signal for TV ghosts

Number

TLpq304303400

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

A new enhanced binary ghost canceling reference signal for TV ghosts

General Material Designation

[Thesis]

First Statement of Responsibility

W. A.-E. Abu Al-Saud

Name of Publisher, Distributor, etc.

King Fahd University of Petroleum and Minerals (Saudi Arabia)

Date of Publication, Distribution, etc.

1996

Specific Material Designation and Extent of Item

153

Dissertation or thesis details and type of degree

M.S.

Body granting the degree

King Fahd University of Petroleum and Minerals (Saudi Arabia)

Text preceding or following the note

1996

Text of Note

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.

Applied sciences

Electrical engineering

W. A.-E. Abu Al-Saud

Electronic name

p

[Thesis]

276903

a

Y