<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Application of Bayesian equalization methodology for [pi]/4 DQPSK modulation</title>
  </titleInfo>
  <name type="personal">
    <namePart>Lwin, Thin Thin</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Makelainen, Kimmo</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Sharma, A.B.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Takahashi, Kenzo</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Finnish International Development Agency (FINNIDA)</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1994</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>48 leaves</extent>
  </physicalDescription>
  <abstract>This study presents a modeling of Bayesian equalizer with decision feedback. The Bayesian equalizer which is based on Bayesian solution is derived by using bayes' theorem. By utilizing ~ decision feedbaack is proposed which not only improves equalization performance but also reduces computational complexity. The transmission channel has been assumed three path raised cosine channel. Adaptive channel estimation approach is developed to realize the Bayesian equalization performance. The simplest Least Mean Square (LMS) algorithm is used for adaptive channel estimation. Simulation is employed in Matlab environment in order to evaluate the performance of the Bayesian DFE by applying n/4- shifted- DQPSK modulation scheme. The simulation bit- error- rate (BER) results are presented for various transmission channels and decision delays.</abstract>
  <note>A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology</note>
  <note>Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 1994</note>
  <subject authority="lcsh">
    <topic>Bayesian statistical decision theory</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Research studies project report ; no. TC-94-11</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
  </relatedItem>
  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B15565</identifier>
  <location>
    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B15565</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">121095</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260817162836.0</recordChangeDate>
  </recordInfo>
</mods>
