رکورد قبلیرکورد بعدی

" Coding and Detection for 2-Dimensional Channels "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 149293
Doc. No : ET21085
Main Entry : smail Demirkan
Title Proper : Coding and Detection for 2-Dimensional Channels
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Coding and detection techniques for one-dimensional (1-D) intersymbol interference (ISI)channels, particularly magnetic and optical recording channels, have been studied exten-sively for almost three decades. On the modulation coding side, the state-splitting algo-rithm has been developed to design ecient systematic modulation codes. On the detectionside, Viterbi detector and decision-feedback equalization (DFE) have been well-understood.Two-dimensional (2-D) holographic data storage, has been developed to store the informa-tion pagewise instead of on 1-D tracks. This will signicantly increase the storage densityand read/write access of the information.However, most of the modulation coding and detection techniques for 1-D recordingsystems are unusable for 2-D holographic data storage. In this work, we present variousmethods for modelling and equalizing 2-D ISI channels. Some low complexity detectors,such as a threshold detector, have been proposed for certain 2-D ISI channels. One ofthe main problems of the holographic data storage is the misalignment between writtenand sampled data pages. This problem is addressed by using more detector pixels thandata points, which is called oversampling. We also attempted to characterize the distanceproperties of certain 2-D ISI channels. An algorithm for nding error events is developedfor any 2-D ISI channel..
Subject : Electericl tess
: برق
electronic file name : TL44233.pdf
Title and statement of responsibility and : Coding and Detection for 2-Dimensional Channels [Thesis]
آدرس ثابت

پیوستها
عنوان :
نام فایل :
نوع عام محتوا :
نوع ماده :
فرمت :
سایز :
عرض :
طول :
TL44233.pdf
TL44233.pdf
پایان نامه لاتین
متن
application/octet-stream
1.51 MB
85
85
نظرسنجی