Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

John W. Boyhan

dblp:183/0872 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1984
—ORCID · none

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

Computer networks · 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%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation
frequency modulation		 0.011984
Normalized Power Spectra for FDM/FM Signals and Noise Power Ratio Calculations · IEEE Trans. Commun. 1984
Physical-layer communications › signal processing for communications › statistical signal processing
power spectral density		 0.011984
Normalized Power Spectra for FDM/FM Signals and Noise Power Ratio Calculations · IEEE Trans. Commun. 1984
Physical-layer communications › interference
interference analysis		 0.011984
Normalized Power Spectra for FDM/FM Signals and Noise Power Ratio Calculations · IEEE Trans. Commun. 1984

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

analytical modeling · 0.0
YearPublicationVenuePosition
1984 Normalized Power Spectra for FDM/FM Signals and Noise Power Ratio Calculations
abstract
By using normalized power spectra to represent frequency division multiplex/frequency modulation (FDM/FM) signals, the noise-power ratio (NPR) resulting from interference between FM signals can be easily calculated. These non-Gaussian power spectra are shown for CCIR preemphasis, rms frequency modulation (m) indexes from 0.1 to 1.2 and for top-to-bottom baseband frequency ratios (b) from 2 to 20. Proof is given that signals with the samemindex,bratio, and preemphasis characteristics will have the same power spectrum. Also given is the value of the indexmfor a givenbratio that can be used to represent the FDM/FM signals by a Gaussian power spectrum.
John W. Boyhan
 IEEE Trans. Commun.1