NDLI: Multighost cancellation technique for HDTV systems, using a derivation of the OLS learning algorithm

Content Provider	IEEE Xplore Digital Library
Author	Pantsios Markhauser, C. Yong, A.
Copyright Year	1975
Abstract	Very successful multiple video ghost cancellation simulations have been obtained with the application of a designed learning algorithm, based on the orthogonal least square method [OLS], to a channel identification process based on a FIR system model. The algorithm can be visualized by assuming the existence of a data matrix, at the input of the equalizer, which is created with a time shifting process, in order to generate "M" column vectors. The designed algorithm processes these vectors and, with the aid of an orthogonalization method, calculates a set of the most representative one, with respect to a desired output signal. The delays and amplitudes of the ghosts were obtained with the aid of a forward regressor method. The process has shown to be very effective for the accurate calculation of the ghost parameters, even in the presence of considerable noise levels, and is also used to train RBF approximation networks for the systematic selection of its centroids. In all the tests performed in the paper, the proposed technique has given much better results than using conventional algorithms.<>
Sponsorship	IEEE Consumer Electronics Society
Starting Page	476
Ending Page	483
Page Count	8
File Size	559690
File Format	PDF
ISSN	00983063
Volume Number	41
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	HDTV Algorithm design and analysis Least squares methods Finite impulse response filter Data visualization Equalizers Process design Signal design Signal processing Delay
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

MULTIGHOST CANCELLATION TECHNIQUE FOR HDTV SYSTEMS, USING A DERIVATION OF THE OLS LEARNING ALGORITHM

Application of a new OLS learning algorithm for video ghost cancellation

Thinning the impulse response of FIR digital filters

Minimax Design of Variable Fractional-Delay FIR Digital Filters by Iterative Weighted Least-Squares Approach

Learning characteristics of transpose-form LMS adaptive filters

Fast algorithm for constrained least squares FIR filter design

A New Criterion for the Design of Variable Fractional-Delay FIR Digital Filters

Fast algorithm for constrained least squares FIR filter design

Optimal design of complex FIR filters with arbitrary magnitude and group delay responses

Multighost cancellation technique for HDTV systems, using a derivation of the OLS learning algorithm

Similar Documents

MULTIGHOST CANCELLATION TECHNIQUE FOR HDTV SYSTEMS, USING A DERIVATION OF THE OLS LEARNING ALGORITHM

Application of a new OLS learning algorithm for video ghost cancellation

Thinning the impulse response of FIR digital filters

Minimax Design of Variable Fractional-Delay FIR Digital Filters by Iterative Weighted Least-Squares Approach

Learning characteristics of transpose-form LMS adaptive filters

Fast algorithm for constrained least squares FIR filter design

A New Criterion for the Design of Variable Fractional-Delay FIR Digital Filters

Fast algorithm for constrained least squares FIR filter design

Optimal design of complex FIR filters with arbitrary magnitude and group delay responses

Multighost cancellation technique for HDTV systems, using a derivation of the OLS learning algorithm