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G. M. Vachula

dblp:271/5513 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1981
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › receiver design
adaptive receiver
0.011981
On Optimal Detection of Band-Limited PAM Signals with Excess Bandwidth · IEEE Trans. Commun. 1981
Physical-layer communications › signal detection › sequence estimation
maximum-likelihood sequence estimation
0.011981
On Optimal Detection of Band-Limited PAM Signals with Excess Bandwidth · IEEE Trans. Commun. 1981
Physical-layer communications
signal detection
0.011981
On Optimal Detection of Band-Limited PAM Signals with Excess Bandwidth · IEEE Trans. Commun. 1981
Physical-layer communications
modulation
0.011981
On Optimal Detection of Band-Limited PAM Signals with Excess Bandwidth · IEEE Trans. Commun. 1981
Physical-layer communications › modulation › pulse modulation
pulse amplitude modulation
0.011981
On Optimal Detection of Band-Limited PAM Signals with Excess Bandwidth · IEEE Trans. Commun. 1981

Methods — techniques the papers use, named apart from their topics

viterbi algorithm · 0.0matched filtering · 0.0
YearPublicationVenuePosition
1981 On Optimal Detection of Band-Limited PAM Signals with Excess Bandwidth
abstract
PAM data transmission receivers accomplishing maximum likelihood sequence detection (MLSD) usually require a matched filter prefilter, a sampler at the symbol rate, and a Viterbi algorithm detector. When the channel is unknown or slowly changing, one must use an adaptive matched filter prefilter. We examine an alternative optimum receiver whose optimality is independent of the matched filter prefilter and which is applicable when the channel is effectively band-limited. The sampler in the proposed receiver operates at a rate faster than the data symbol rate, enabling one to replace the matched filter by a fixed low-pass filter and still ensure that the maximum likelihood detector is supplied with a set of sufficient statistics. It is shown that the matched filter is incorporated within a modified Viterbi detector without increasing the number of states in the algorithm, although the Viterbi detector must perform computations at approximately twice the usual rate. Simulations support the optimality of the new receiver and quantitatively indicate the degradation in performance experienced by some adaptive receivers previously proposed.
G. M. Vachula, Francis S. Hill Jr.
IEEE Trans. Commun.1