2000
DOI: 10.1049/el:20000472
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Adaptive MLSE receiver: hybrid of per-survivor processing and tentative decision MLSE

Abstract: Adaptive MLSE receiver: hybrid of persurvivor processing and tentative decision MLSE Co:orrcbrsions; Wc havc dcmonslrritcd ;I huc low teiiipcrtlhim bonding process using coin1ncrci;dly nv;~iIiiblc spin-on glass laycrs iis im iiitermsdinte layer. SOG bonding is B simplc, wrhwhlc and dectronicdly clcan prowss aucl it can be applied for gdliuru ni.seiiidelo-silicon bonding and ns well for silicori-to-silicon bonding. TIE interface encrgy achicvcd Tor SOG bondcd GaAsAi is -1.7 J/m2 after nnnenling at 200°C. Acl~nu… Show more

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Cited by 9 publications
(2 citation statements)
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“…The adaptive MLSE implemented by using the Viterbi algorithm (VA) has been employed as a powerful technique for sequence detection in uncertain environments [1]- [5]. The algorithms in [1]- [2], which will be referred to as the tentative decision (TD)-MLSE, use tentative decision values obtained by tracing back the survival path with minimum metric value at each time.…”
Section: Introductionmentioning
confidence: 99%
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“…The adaptive MLSE implemented by using the Viterbi algorithm (VA) has been employed as a powerful technique for sequence detection in uncertain environments [1]- [5]. The algorithms in [1]- [2], which will be referred to as the tentative decision (TD)-MLSE, use tentative decision values obtained by tracing back the survival path with minimum metric value at each time.…”
Section: Introductionmentioning
confidence: 99%
“…As an alternative technique for eliminating decision delay, per-survivor processing (PSP) algorithm [3] in which channel parameters are estimated for all surviving path at each time was used. In [4]- [5], some techniques for reducing computational complexity of PSP-MLSE were introduced. Nevertheless, these MLSE-based receivers still require heavy computational complexity and large memory size for storing path history in practical implementation.…”
Section: Introductionmentioning
confidence: 99%