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.

James A. Mullen

dblp:134/0744 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Physical-layer communications
electronic countermeasures
0.011974
The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) Communications · IEEE Trans. Commun. 1974
Physical-layer communications › spread spectrum
jamming resistance
0.011974
The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) Communications · IEEE Trans. Commun. 1974
Physical-layer communications
spread spectrum
0.011974
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
0.011968
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
0.011968
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
0.011965
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
0.011974
The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) Communications · IEEE Trans. Commun. 1974
Physical-layer communications › fading channels
rayleigh fading
0.011965
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
0.011966
Comments on 'Error probabilities for Rician fading multichannel reception' by Lindsey, W. C · IEEE Trans. Inf. Theory 1966
Physical-layer communications
signal detection
0.011965
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
0.011966
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
0.011965
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
0.011965
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
YearPublicationVenuePosition
1974 The Electronic Countermeasures Problem for Extremely Low Frequency (ELF) Communications
abstract
An 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. Theory1
1968 Comments on 'The transform method for nonlinear devices with non-Gaussian noise' by Bowen, B. A
James A. Mullen
IEEE Trans. Inf. Theory1
1966 Comments on 'Error probabilities for Rician fading multichannel reception' by Lindsey, W. C
James A. Mullen
IEEE Trans. Inf. Theory1
1965 Advantages of amplitude and phase adaptivity in the detection of signals subject to slow Rayleigh fading
abstract
The 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. Theory3