EDBT 2026 Demo / reviewers in the wild / expert
James A. Mullen
dblp:134/0744
· DBLP profile ↗
5ranked-venue papers
4as first author
0since 2021 · last 1974
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 4 · 3 first-authorComputer 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
4 papers |
Physical-layer communications · 95% Wireless networking · 5% | |
| Theoretical computer science
2 papers |
Information theory · 57% Mathematical optimization · 43% |
Topics — the 13 heaviest of 14, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
electronic countermeasures |
0.0 | 1 | 1974 | The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) Communications · IEEE Trans. Commun. 1974 |
Physical-layer communications › spread spectrum
jamming resistance |
0.0 | 1 | 1974 | The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) Communications · IEEE Trans. Commun. 1974 |
Physical-layer communications
spread spectrum |
0.0 | 1 | 1974 | The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) Communications · IEEE Trans. Commun. 1974 |
Physical-layer communications › signal processing for communications › statistical signal processing
non-gaussian noise |
0.0 | 1 | 1968 | Comments on 'The transform method for nonlinear devices with non-Gaussian noise' by Bowen, B. A · IEEE Trans. Inf. Theory 1968 |
Physical-layer communications
nonlinear devices |
0.0 | 1 | 1968 | Comments on 'The transform method for nonlinear devices with non-Gaussian noise' by Bowen, B. A · IEEE Trans. Inf. Theory 1968 |
Physical-layer communications › signal detection
adaptive detection |
0.0 | 1 | 1965 | Advantages of amplitude and phase adaptivity in the detection of signals subject to slow Rayleigh fading · IEEE Trans. Inf. Theory 1965 |
Wireless networking › wireless transmission
extremely low frequency communication |
0.0 | 1 | 1974 | The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) Communications · IEEE Trans. Commun. 1974 |
Physical-layer communications › fading channels
rayleigh fading |
0.0 | 1 | 1965 | Advantages of amplitude and phase adaptivity in the detection of signals subject to slow Rayleigh fading · IEEE Trans. Inf. Theory 1965 |
Physical-layer communications › fading channels
rician fading |
0.0 | 1 | 1966 | Comments on 'Error probabilities for Rician fading multichannel reception' by Lindsey, W. C · IEEE Trans. Inf. Theory 1966 |
Physical-layer communications
signal detection |
0.0 | 1 | 1965 | Advantages of amplitude and phase adaptivity in the detection of signals subject to slow Rayleigh fading · IEEE Trans. Inf. Theory 1965 |
Physical-layer communications › channel modeling › propagation channel modeling
wireless channel modeling |
0.0 | 1 | 1966 | Comments on 'Error probabilities for Rician fading multichannel reception' by Lindsey, W. C · IEEE Trans. Inf. Theory 1966 |
Information theory › statistical inference › statistical decision theory
bayes risk |
0.0 | 1 | 1965 | Advantages of amplitude and phase adaptivity in the detection of signals subject to slow Rayleigh fading · IEEE Trans. Inf. Theory 1965 |
Information theory
hypothesis testing |
0.0 | 1 | 1965 | Advantages of amplitude and phase adaptivity in the detection of signals subject to slow Rayleigh fading · IEEE Trans. Inf. Theory 1965 |
Methods — techniques the papers use, named apart from their topics
bandwidth spreading · 0.0neyman-pearson detection · 0.0bayes risk analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1974 | The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) CommunicationsabstractAn extremely low frequency (ELF) communication system for military purposes needs specialized engineering techniques, in particular signal bandwidth spreading in order to protect against enemy electronic countermeasures (ECM). Qualitative discussion is presented of the processing which the system must have to make jamming difficult, with qualitative discussion of predictive jamming, repeat-back jamming, and high power brute force jamming by adapting electric power systems. James A. Mullen |
IEEE Trans. Commun. | 1 |
| 1968 | On the reducibility of Toeplitz eigenvalue equations (Corresp.)
James A. Mullen |
IEEE Trans. Inf. Theory | 1 |
| 1968 | Comments on 'The transform method for nonlinear devices with non-Gaussian noise' by Bowen, B. A
James A. Mullen |
IEEE Trans. Inf. Theory | 1 |
| 1966 | Comments on 'Error probabilities for Rician fading multichannel reception' by Lindsey, W. C
James A. Mullen |
IEEE Trans. Inf. Theory | 1 |
| 1965 | Advantages of amplitude and phase adaptivity in the detection of signals subject to slow Rayleigh fadingabstractThe maximum improvement that can be expected from amplitude and/or phase adaptivity in the performance of an optimum receiver is evaluated in detail for a general class of broad- and narrow-band signals subject to slow Rayleigh fading in the "on-off" mode of operation. The pertinent Bayes risks are evaluated and compared for different states of a priori information. It is found that amplitude adaptivity yields an advantage increasing without bounds with the SNR, whereas phase adaptivity is a decreasing function of the SNR ratio. For the interesting region of moderately low error probabilities, and with equal a priori error risks, amplitude adaptivity yields an improvement in performance equivalent to3-6dB in SNR, whereas phase adaptivity yields an improvement of2or1dB depending on whether the amplitude also is known or not. The effect of asymmetry of a priori error risks is discussed. It is also pointed out that the optimum test for deciding on the presence or absence of the signal is uniformly most powerful with respect to the amplitude, so that no advantage can be expected from amplitude adaptivity in the Neyman-Pearson mode of operation. Raffaele Esposito, David Middleton, James A. Mullen |
IEEE Trans. Inf. Theory | 3 |