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Blekinge Institute of Technology, School of Engineering.
Blekinge Institute of Technology, School of Engineering.
2011 (English)Student thesis
Abstract [en]

Semi blind equalization techniques are popular adaptive techniques used in digital communications. This project is divided into two subparts. First subpart includes the introduction to the Euclidean Direction Search (EDS) algorithm which has both advantages of Least Mean Square (LMS) algorithm and Recursive Least Square (RLS) algorithm, and performance analysis of different EDS algorithms in biomedical application (e.g. detection of the fetus heart beat from the mother heart beat and fetus heartbeat). The second subpart includes the performance of the EDS, Fast EDS (FEDS), Recursive or Least Square EDS (REDS or LSEDS) and Optimal EDS (OEDS) using Quadrature Amplitude Modulation (QAM) in time domain and design, implementation and performance analysis of these algorithms using semi blind fractionally spaced equalizer technique in time domain.

Place, publisher, year, edition, pages
2011. , 36 p.
Keyword [en]
Euclidean Direction Search (EDS) algorithm, Recursive Least Squares algorithm, Fast EDS, Optimal EDS, Bit Error Rate, LMS, CMA
National Category
Signal Processing Telecommunications
URN: urn:nbn:se:bth-2672Local ID: diva2:829960
d-no:46-1-5,Danavipet,rajahmundry,India pin 533103. Phone 0883-243010 email:jashwinireddy@gmail.comAvailable from: 2015-04-22 Created: 2011-09-12 Last updated: 2015-06-30Bibliographically approved

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