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Lars-Erik Eriksson

dblp:272/5840 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1976
—ORCID · none

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

Computer networks · 2 · 2 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
2 papers
Physical-layer communications · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications
equalization
0.021976
An Equalizer Structure with Reduced Sampling Time Reference Sensitivity · IEEE Trans. Commun. 1976
Transmitter and Receiver Filters for Digital PAM Using Transversal Filters with Few Taps · IEEE Trans. Commun. 1974
Physical-layer communications › equalization
adaptive equalization
0.011976
An Equalizer Structure with Reduced Sampling Time Reference Sensitivity · IEEE Trans. Commun. 1976
Physical-layer communications › equalization › linear equalization
transversal equalizer
0.011976
An Equalizer Structure with Reduced Sampling Time Reference Sensitivity · IEEE Trans. Commun. 1976
Physical-layer communications › modulation › pulse modulation
pulse amplitude modulation
0.011974
Transmitter and Receiver Filters for Digital PAM Using Transversal Filters with Few Taps · IEEE Trans. Commun. 1974
Physical-layer communications › digital signal processing › linear filtering
transversal filter
0.011974
Transmitter and Receiver Filters for Digital PAM Using Transversal Filters with Few Taps · IEEE Trans. Commun. 1974

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

tap coefficient adjustment · 0.0mean-square optimization · 0.0mean-square error minimization · 0.0intersymbol interference minimization · 0.0
YearPublicationVenuePosition
1976 An Equalizer Structure with Reduced Sampling Time Reference Sensitivity
abstract
In the last decade the work on linear tapped delay line equalizers has proved successful in reducing intersymbol interferenceone of the largest problems in data communication systems. An adjoining problem is the selection of a sampling time reference. An equalizer structure less sensitive to sampling time reference is studied for adaptive equalization. The equalization is simply done by means of tap coefficient adjustment. The equalizer consists of two parallel branches, each containing a transversal filter with adjustable tap coefficients. The branches are connected by a fixed filter, the transfer function of which is selected such that the equalizer can perform a sampling time reference displacement and a cancellation of intersymbol interference simultaneously. The criterion of goodness is the conventional meansquare error (including noise) between the actual output and a desired output. The equalizer is applied in two examples showing-in contrast to a conventional equalizer with the same total number of tap coefficients-the insensitivity of the minimum mean-square error (MMSE) to how the the sampling time reference is selected. Thus no extra circuits are needed for this purpose, while a mean-square error that is as low as the best that can be obtained with a conventional equalizer is adaptively maintained.
Lars-Erik Eriksson, Harrie C. van den Elzen
IEEE Trans. Commun.1
1974 Transmitter and Receiver Filters for Digital PAM Using Transversal Filters with Few Taps
abstract
Optimization in the mean-square sense of a transmitter and receiver filter for a time-discrete pulse-amplitude modulation (PAM) system is considered, assuming a situation of realizable filters. This means a general departure from the common matched filter-periodic filter receiver structure. The minimization is carried out with respect to both intersymbol interference and noise, assuming that both transmitter and receiver filters consist of a limited number of basic filters. It is shown that, in general, few basic filters need to be used and that, in general, it is inefficient to use a matched filter and equalizer as a receiver if the transmitter filter is not optimized.
Lars-Erik Eriksson
IEEE Trans. Commun.1