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Design of high-speed adaptive parallel multi-level decision feedback equalizer

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dc.contributor.advisor Allstot, David J.
dc.creator Xiang, Yihai
dc.date.accessioned 2012-10-12T17:59:36Z
dc.date.available 2012-10-12T17:59:36Z
dc.date.copyright 1997-02-26
dc.date.issued 1997-02-26
dc.identifier.uri http://hdl.handle.net/1957/34362
dc.description Graduation date: 1997 en_US
dc.description.abstract Multi-level decision feedback equalization (MDFE) is an effective technique to remove inter-symbol interference (ISI) from disk readback signals, which uses the simple architecture of decision feedback equalization. Parallelism which doubles the symbol rate can be realized by setting the first tap of the feedback filter to zero. A mixed-signal implementation has been chosen for the parallel MDFE, in which coefficients for the 9-tap feedback filter are adapted in the digital domain by 10-bit up/ down counters; 6-bit current mode D/A converters are used to convert digital coefficients to differential current signals which are summed with the forward equalizer (FE) output, and a flash A/D is used to make decisions and generate error signals for adaptation. In this thesis, a description of the parallel structure and the adaptation algorithm are presented with behavioral level verification. The circuit design and layout were carried out in HP 1.2um n-well CMOS process. The design of the high-speed counter and the current-mode D/A are discussed. HSPICE simulations show that a symbol rate of 100Mb/s for the feedback equalizer is readily achieved. en_US
dc.language.iso en_US en_US
dc.subject.lcsh Feedback control systems -- Design and construction en_US
dc.subject.lcsh Equalizers (Electronics) -- Design and construction en_US
dc.title Design of high-speed adaptive parallel multi-level decision feedback equalizer en_US
dc.type Thesis/Dissertation en_US
dc.degree.name Master of Science (M.S.) in Electrical and Computer Engineering en_US
dc.degree.level Master's en_US
dc.degree.discipline Engineering en_US
dc.degree.grantor Oregon State University en_US
dc.contributor.committeemember Kiaei, Sayfe
dc.contributor.committeemember Farkus, Daniel F.
dc.description.digitization File scanned at 300 ppi (Monochrome, 8-bit Grayscale) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR. en_US
dc.description.peerreview no en_us


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