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Chong Hon Chan

dblp:271/8891 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1979
—ORCID · none

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

Computer networks · 1

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 architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 50% Reconfigurable computing and FPGAs · 50%
Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Reconfigurable computing and FPGAs › FPGA-based signal processing
adaptive filtering
0.011979
A Sampled Analog MOS LSI Adaptive Filter · IEEE Trans. Commun. 1979
Integrated circuit design
analog and mixed-signal circuits
0.011979
A Sampled Analog MOS LSI Adaptive Filter · IEEE Trans. Commun. 1979
Physical-layer communications › interference cancellation
echo cancellation
0.011979
A Sampled Analog MOS LSI Adaptive Filter · IEEE Trans. Commun. 1979

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

programmable transversal filter · 0.0least mean squares · 0.0
YearPublicationVenuePosition
1979 A Sampled Analog MOS LSI Adaptive Filter
abstract
A novel realization of an adaptive filter using sampled analog MOS LSI techniques is described in this paper. The basic functional block of the adaptive filter is an electrically programmable transversal filter whose tap weights are modified according to the least mean square algorithm. A comparison has been made among different available approaches for implementing a programmable transversal filter. A rotating tap weight structure [1] has been used to realize a 32-tap programmable transversal filter with features for the adaptive operation included on an NMOS silicon-gate chip. The adaptive filter has been characterized as a parameter estimator which finds application in echo cancellation and noise cancellation. A wide range of magnitude and phase characteristics of the unknown system (to be modeled by the adaptive filter) have been used to test the performance of the present adaptive system. Results on the residual error and the convergence time under different conditions are reported. Some practical limitations of the system are also presented.
Bhupendra K. Ahuja, Miles A. Copeland, Chong Hon Chan
IEEE Trans. Commun.3