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Hiroji Kusaka

dblp:78/1588 · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 1996
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 3Artificial intelligence and machine learning · 2Computer 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%
Theoretical computer science
1 paper
Automated reasoning and model checking · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › spread spectrum
direct-sequence spread spectrum
0.011983
A Spectral Analysis of M-ary Direct Sequence Spread-Spectrum Multiple Access Communication Systems · IEEE Trans. Commun. 1983
Physical-layer communications
spread spectrum
0.011983
A Spectral Analysis of M-ary Direct Sequence Spread-Spectrum Multiple Access Communication Systems · IEEE Trans. Commun. 1983
Physical-layer communications › multiplexing › frequency-division multiplexing
FDM/FM
0.011977
More on Distortion in FDM-FM Transmission Systems · IEEE Trans. Commun. 1977
Physical-layer communications › multiplexing
frequency-division multiplexing
0.011977
More on Distortion in FDM-FM Transmission Systems · IEEE Trans. Commun. 1977
Physical-layer communications
multiple access
0.011983
A Spectral Analysis of M-ary Direct Sequence Spread-Spectrum Multiple Access Communication Systems · IEEE Trans. Commun. 1983
Physical-layer communications › hardware impairments
AM/AM and AM/PM conversion
0.011977
More on Distortion in FDM-FM Transmission Systems · IEEE Trans. Commun. 1977
Physical-layer communications › signal distortion
distortion analysis
0.011977
More on Distortion in FDM-FM Transmission Systems · IEEE Trans. Commun. 1977

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

spectral analysis · 0.0hierarchical abstraction · 0.0monte-carlo computation · 0.0direct method of analysis · 0.0
YearPublicationVenuePosition
1996 Blind identification of noncausal AR models based on higher-order statistics
Ling Chena, Hiroji Kusaka, Masanobu Kominami, Qingyie Yin
Signal Process.2
1996 Blind phase recovery in QAM communication systems using higher order statistics
abstract
We present a method for phase recovery in QAM communication systems based on higher order statistics. Under the assumption that the QAM signals have independent, identically distributed (i.i.d.) in-phase and quadrature components, we derive the relation between the phase error and the fourth-order cumulant of the output. Numerical performance of the approach is demonstrated by computer simulation.
Ling Chena, Hiroji Kusaka, Masanobu Kominami
IEEE Signal Process. Lett.2
1986 Text Analysis and Knowledge Extraction
Fujio Nishida, Shinobu Takamatsu, Tadaaki Tani, Hiroji Kusaka
COLING4
1983 A Spectral Analysis of M-ary Direct Sequence Spread-Spectrum Multiple Access Communication Systems
abstract
This paper presents the power spectrum of the transmitted signal in a synchronous spread-spectrum communication system in which the users' information symbol sequences are encoded intoM-ary channel symbol sequences. Furthermore, when maximal-length shift register sequences are used as the spreading code sequences of the system, the average power spectrum over all possible sets of the allowable simultaneous users is presented. It is shown that distribution of the spectrum is influenced considerably by the spreading code and the channel symbol sequences.
Hiroji Kusaka, Fujio Nishida
IEEE Trans. Commun.1
1979 Problem Solving of Elementary Algebra by Hierarchical Abstraction
Fujio Nishida, Yoneharu Fujita, Hiroji Kusaka
IJCAI3
1977 More on Distortion in FDM-FM Transmission Systems
abstract
Using the direct method of analysis, the power spectrum of the output phase rate of a FDM-FM signal passed through a transmission system with AM-PM converter is expressed by four kinds of components for both cases with and without preemphasis. It is illustrated that signal-to-interference ratios are in good agreement with Monte Carlo computations. Further, based on the evaluations of the spectral components and mean-square error, in baseband, the effects of these components are elucidated.
Hiroji Kusaka, Fujio Nishida
IEEE Trans. Commun.1