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D. Y. Kim

dblp:23/5739 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1995
—ORCID · none

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

Computer networks · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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%
Theoretical computer science
1 paper
Information theory · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › signal analysis
eye pattern analysis
0.011995
Lower-bound eye widths of minimum-bandwidth systems · IEEE Trans. Commun. 1995
Physical-layer communications
modulation and detection
0.011995
Lower-bound eye widths of minimum-bandwidth systems · IEEE Trans. Commun. 1995
Physical-layer communications › modulation › line coding
partial response signaling
0.011995
Lower-bound eye widths of minimum-bandwidth systems · IEEE Trans. Commun. 1995
Physical-layer communications
signal analysis
0.011995
Lower-bound eye widths of minimum-bandwidth systems · IEEE Trans. Commun. 1995

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

minimum-bandwidth analysis · 0.0
YearPublicationVenuePosition
1995 Lower-bound eye widths of minimum-bandwidth systems
abstract
Lower-bound eye widths of multilevel minimum-bandwidth (MB) systems are presented as function of a parameter indicating the grade of the MB property. They are then compared with actual eye widths of some MB partial-response systems, a linear subclass of the generalized MB system. Our result can be used in securing the minimum guaranteed eye widths for real implemented MB systems.>
D. Y. Kim
IEEE Trans. Commun.1
1988 Speech recognition with the discrete rectangular wave transform
abstract
Speaker and phoneme recognition is investigated based on the discrete rectangular wave transform (DRWT). The DRWT is one of the discrete Fourier preprocessing transforms (DFPTs) which corresponds to the first stage in two-stage algorithms to represent discrete trigonometric transforms such as the discrete Fourier transform (DFT). The DRWT is much faster and easier to implement than the DFT. The recognition experiments performed also show that performance of recognition based on DRWT speech spectrograms is comparable to the performance of recognition based on DFT speech spectrograms.>
D. Y. Kim, B. J. Stanton, Okan K. Ersoy, Leah H. Jamieson
ICASSP1