NDLI: The application of two weighted neural network for channel equalization problem

Content Provider	IEEE Xplore Digital Library
Author	Hong Peng PeiLiang Qiu
Copyright Year	2004
Description	Author affiliation: Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China (Hong Peng; PeiLiang Qiu)
Abstract	This paper examines a method to apply to channel equalization problem by model selection. The selection process is based on finding a subset model to approximate the response of the full two weighted neural network model for the current input vector, and not for the entire input space. When the channel equalization problem is nonstationary, the requirement to update all the kernel weights locations is removed, and its complexity is reduced. Using computer simulations, we show that the number of kernel weights can be greatly reduced without compromising classification performance.
Sponsorship	IEEE Circuits and Syst. Soc. IEEE Commun. Soc. IEEE Signal Processing Soc. IEEE Information Theory Soc. Chinese Inst. of Electron. Nokia Corp., Finland Intel Corp., USA Microsoft Res., Asia Shanghai Jiaotong Univ
Starting Page	397
Ending Page	400
File Size	211741
Page Count	4
File Format	PDF
ISBN	0780379381
DOI	10.1109/CASSET.2004.1321905
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Additive noise Equalizers Gaussian noise Neural networks Neurons Paper technology Pattern recognition Application software Kernel Delay
Content Type	Text
Resource Type	Article

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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
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