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VLDB 2026 Research / reviewers in the wild / expert

Takashi Soeda

dblp:57/3227 · DBLP profile ↗
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9ranked-venue papers
1as first author
0since 2021 · last 1982
—ORCID · none

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

Theory of computation · 6Databases, data management, data science and information retrieval · 3 · 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.

Theoretical computer science
4 papers
Coding theory · 64% Information theory · 36%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › channel coding
feedback communication		 0.021978
Optimal linear coding schemes for feedback communication with noisy side information (Corresp.) · IEEE Trans. Inf. Theory 1978
A note on feedback communication with noisy side information at the receiver (Corresp.) · IEEE Trans. Inf. Theory 1977
Coding theory › source coding › side information
noisy side information		 0.021978
Optimal linear coding schemes for feedback communication with noisy side information (Corresp.) · IEEE Trans. Inf. Theory 1978
A note on feedback communication with noisy side information at the receiver (Corresp.) · IEEE Trans. Inf. Theory 1977
Coding theory
source coding		 0.011978
Optimal linear coding schemes for feedback communication with noisy side information (Corresp.) · IEEE Trans. Inf. Theory 1978
Information theory › estimation theory › estimation bounds
mean-square error bounds		 0.011977
A note on feedback communication with noisy side information at the receiver (Corresp.) · IEEE Trans. Inf. Theory 1977
Coding theory › source coding
rate-distortion theory		 0.011977
A note on feedback communication with noisy side information at the receiver (Corresp.) · IEEE Trans. Inf. Theory 1977
Information theory › probability theory › stochastic processes
gaussian processes		 0.011976
An alternative expression of the mutual information for Gaussian processes (Corresp.) · IEEE Trans. Inf. Theory 1976
Information theory › information measures
mutual information		 0.011976
An alternative expression of the mutual information for Gaussian processes (Corresp.) · IEEE Trans. Inf. Theory 1976

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

mean squared error analysis · 0.0linear coding · 0.0estimation theory · 0.0estimation scheme · 0.0
YearPublicationVenuePosition
1982 Finite-time settling adaptive observer for linear discrete-time systems
Takashi Soeda, Toshiaki Tabuchi
 Inf. Sci.1
1980 Fixed-Lag Smoothing Estimator for a Linear Distributed Parameter System
Sigeru Omatu 0001, Sunichiro Ohe, Takashi Soeda
 Inf. Control.3
1980 Information-theoretical optimal smoothing estimators
Sunichiro Ohe, Yutaka Tomita, Sigeru Omatu 0001, Takashi Soeda
 Inf. Sci.4
1978 Optimal linear coding schemes for feedback communication with noisy side information (Corresp.)
abstract
Optimal linear coding schemes for feedback communication with noisy side information are derived. The performance of two schemes with side information are compared with the information-theoretic bounds. The side information at the transmitter Significantly reduces the mean-squared error. The corresponding continuous-time system is briefly mentioned.
Hideaki Sakai, Takashi Soeda, Hidekatsu Tokumaru
 IEEE Trans. Inf. Theory2
1977 Fixed-Point Smoothing in Hilbert Spaces
Sigeru Omatu 0001, Yutaka Tomita, Takashi Soeda
 Inf. Control.3
1977 A note on feedback communication with noisy side information at the receiver (Corresp.)
abstract
A feedback communication system which has noisy side information at the receiver is considered. The estimation scheme is a simple extension of the conventional one without side information. The resulting mean-squared error is compared with the rate-distortion bound obtained recently by Wyner and Ziv.
Hideaki Sakai, Takashi Soeda, Hidekatsu Tokumaru
 IEEE Trans. Inf. Theory2
1976 An Application of the Information Theory to Estimation Problems
Yutaka Tomita, S. Ohmatsu, Takashi Soeda
 Inf. Control.3
1976 An application of the information theory to filtering problems
Yutaka Tomita, Sigeru Omatu 0001, Takashi Soeda
 Inf. Sci.3
1976 An alternative expression of the mutual information for Gaussian processes (Corresp.)
abstract
The mutual information plays a central role in communication theory; its general expression for stochastic processes has already been derived. Based on this expression, this correspondence provides an alternative representation of the mutual information for Gaussian processes which is useful in estimation problems.
Sigeru Omatu 0001, Yutaka Tomita, Takashi Soeda
 IEEE Trans. Inf. Theory3