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S. M. Yang

dblp:15/3513 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1Computer networks · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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 networks
1 paper
Physical-layer communications · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications › multiplexing
TDM-FDM conversion		 0.011981
Reduction of Computation in TDM-FDM Transmultiplexer · IEEE Trans. Commun. 1981
Physical-layer communications › signal processing for communications
transmultiplexer		 0.011981
Reduction of Computation in TDM-FDM Transmultiplexer · IEEE Trans. Commun. 1981
Physical-layer communications › digital signal processing
filter bank		 0.011981
Reduction of Computation in TDM-FDM Transmultiplexer · IEEE Trans. Commun. 1981
Physical-layer communications › signal processing for communications › transmultiplexer
TDM-FDM transmultiplexer		 0.011981
Reduction of Computation in TDM-FDM Transmultiplexer · IEEE Trans. Commun. 1981

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

computation reduction · 0.0
YearPublicationVenuePosition
2011 A two-stage algorithm integrating genetic algorithm and modified Newton method for neural network training in engineering systems
Ching-Long Su, S. M. Yang, W. L. Huang
 Expert Syst. Appl.2
2008 Static Worst-Case Execution Time Analysis Tool for Embedded Operating Systems
H. H. Park, Jiman Hong, S. M. Yang
 ICCSA (1)3
1981 Reduction of Computation in TDM-FDM Transmultiplexer
abstract
The purpose of this correspondence is to point out that the computation required to convert FDM to TDM in [1] can be further reduced by a simple modification. The computation rates per channel are required to be 384 000 multiplications/s and 792 000 additions/s in [1]. After modification, those are reduced to 203 000 multiplications/s and 448 000 additions/s. In addition, about 300 words of storage can also be saved.
S. M. Yang
 IEEE Trans. Commun.1