Demo Data from EDBT 2026 / reviewers in the wild / expert
Masanori Shinriki
dblp:46/761
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 first-authorTheory of computation · 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
3 papers |
Physical-layer communications · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
signal-to-noise ratio improvement |
0.0 | 2 | 1986 | Nonlinear Techniques for the Improvement of Signal-to-Noise Ratio · IEEE Trans. Commun. 1986 Signal-to-Noise Ratio of the nth Law Amplifier for Non-Gaussian Noise · IEEE Trans. Commun. 1980 |
Physical-layer communications
signal detection |
0.0 | 1 | 1986 | Signal-to-noise ratio of arbitrary power-series envelope detector · IEEE Trans. Inf. Theory 1986 |
Physical-layer communications
signal processing for communications |
0.0 | 1 | 1986 | Signal-to-noise ratio of arbitrary power-series envelope detector · IEEE Trans. Inf. Theory 1986 |
Physical-layer communications
signal-to-noise ratio |
0.0 | 1 | 1986 | Signal-to-noise ratio of arbitrary power-series envelope detector · IEEE Trans. Inf. Theory 1986 |
Physical-layer communications › hardware impairments
nonlinear amplifier |
0.0 | 1 | 1980 | Signal-to-Noise Ratio of the nth Law Amplifier for Non-Gaussian Noise · IEEE Trans. Commun. 1980 |
Physical-layer communications › receiver design
bandpass limiter |
0.0 | 1 | 1986 | Nonlinear Techniques for the Improvement of Signal-to-Noise Ratio · IEEE Trans. Commun. 1986 |
Physical-layer communications › signal processing for communications › statistical signal processing
non-gaussian noise |
0.0 | 1 | 1980 | Signal-to-Noise Ratio of the nth Law Amplifier for Non-Gaussian Noise · IEEE Trans. Commun. 1980 |
Methods — techniques the papers use, named apart from their topics
power series analysis · 0.0low-pass filtering · 0.0envelope detection · 0.0improvement factor analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Nonlinear Techniques for the Improvement of Signal-to-Noise RatioabstractWe propose a novel circuit for noise rejection, which is composed mainly of a linear amplifier, a nonlinear amplifier, and a filter. The input signal is applied to a linear amplifier, a bandpass limiter, and an envelope detector followed by a low-pass filter. The output of the lowpass filter is multiplied by the output of the bandpass limiter. The difference between the output of the multiplier and linear amplifier is the output of the proposed circuit. It is then indicated that the proposed circuit rejects noise, of which amplitude is narrow-band relative to the desired signal or noise phase. Masanori Shinriki |
IEEE Trans. Commun. | 1 |
| 1986 | Signal-to-noise ratio of arbitrary power-series envelope detectorabstractThe effect of an arbitrary power-series envelope detector on signal-to-noise ratio (SNR) for non-Gaussian noise is considered. It is found that the insertion of the region of saturation in the input-output characteristic of the power-law envelope detector results in the improvement on the output SNR when input SNR is large. Iwao Sasase, Masanori Shinriki, Shinsaku Mori |
IEEE Trans. Inf. Theory | 2 |
| 1980 | Signal-to-Noise Ratio of the nth Law Amplifier for Non-Gaussian NoiseabstractThe effects of thenth law amplifier on signal-to-noise ratio has not been represented as a function of the input signal-to-noise ratio when the input of the nonlinear device contains nonGaussian noise. In this paper, we analyze these effects and determine the improvement factor represented by the ratio of the output SNR to the input SNR. The results are illustrated by the calculation of the improvement factor for the cases where the input noise amplitude distributions are the uniform distribution, the triangle distribution, and the Rician distribution. Masanori Shinriki, Akira Kishimoto, Iwao Sasase, Shinsaku Mori |
IEEE Trans. Commun. | 1 |