NDLI: A method of designing nonlinear channel equalizer using conditional fuzzy c-means clustering

Content Provider	IEEE Xplore Digital Library
Author	Bum-Jin Oh Keun-Chang Kwak Sung-Soo Kim Jeong-Woong Ryu
Copyright Year	2002
Description	Author affiliation: Sch. of Electr. Eng., Chungbuk Nat. Univ., Cheongju, South Korea (Bum-Jin Oh; Keun-Chang Kwak; Sung-Soo Kim; Jeong-Woong Ryu)
Abstract	We propose a new method of designing a nonlinear channel equalizer using an adaptive neuro-fuzzy clustering method called a conditional fuzzy c-means. The structure identification of an adaptive neuro-fuzzy system is performed by the conditional fuzzy c-means clustering method with the homogeneous properties of the given input and output data. The parameter identification is established by hybrid learning using the back-propagation algorithm and recursive least squares estimation. Experimental results demonstrate that the proposed method improves the performance of the neuro-fuzzy system. Finally. we apply the proposed method to designing a nonlinear channel equalizer and obtain better results than previous methods.
Sponsorship	Chinese Inst. Electron. IEEE Signal Process. Soc. IEEE URSI IEEE Beijing Sect. Nat. Natural Sci. Found. China China Committee for URSI IEEE Comput. Soc. Beijing Chapter IEEE SP Soc. Beijing Chapter
Starting Page	1355
Ending Page	1358
File Size	231785
Page Count	4
File Format	PDF
ISBN	0780374886
DOI	10.1109/ICOSP.2002.1180043
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Design methodology Equalizers Adaptive filters Nonlinear filters Clustering algorithms Least squares approximation Information filtering Information filters Clustering methods Adaptive systems
Content Type	Text
Resource Type	Article

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

A new adaptive turbo equalizer with soft information classification

A simple Kalman channel Equalizer using adaptive algorithms for time variant channel

Random sampling fuzzy c-means clustering and recursive least square based fuzzy identification

Unsupervised channel equalization using fuzzy prediction-error filters

Fuzzy Adaptive Blind Equalizer Using Extended Kalman Filter Based Adaptation Algorithm For Powerline Channel

Using multi-layer percetron fuzzy adaptive filter in non-linear channel equalisation

Robust learning algorithms for nonlinear filtering

Adaptive bilinear filtering

A design method for parallel recursive least square adaptive Volterra filter

A method of designing nonlinear channel equalizer using conditional fuzzy c-means clustering

Similar Documents

A new adaptive turbo equalizer with soft information classification

A simple Kalman channel Equalizer using adaptive algorithms for time variant channel

Random sampling fuzzy c-means clustering and recursive least square based fuzzy identification

Unsupervised channel equalization using fuzzy prediction-error filters

Fuzzy Adaptive Blind Equalizer Using Extended Kalman Filter Based Adaptation Algorithm For Powerline Channel

Using multi-layer percetron fuzzy adaptive filter in non-linear channel equalisation

Robust learning algorithms for nonlinear filtering

Adaptive bilinear filtering

A design method for parallel recursive least square adaptive Volterra filter

A method of designing nonlinear channel equalizer using conditional fuzzy c-means clustering