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Peter T. Gough

dblp:58/5231 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

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

Computer networks · 2Systems, architecture and hardware · 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
2 papers
Physical-layer communications · 91% Optical networks · 9%
Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%

Topics — the 10 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › equalization
decision feedback equalization
0.012001
Estimation of co-channel signals with linear complexity · IEEE Trans. Commun. 2001
Physical-layer communications
equalization
0.012001
Estimation of co-channel signals with linear complexity · IEEE Trans. Commun. 2001
Physical-layer communications › signal detection
multiuser detection
0.012001
Estimation of co-channel signals with linear complexity · IEEE Trans. Commun. 2001
Physical-layer communications › signal detection
sequence estimation
0.012001
Estimation of co-channel signals with linear complexity · IEEE Trans. Commun. 2001
Physical-layer communications › signal detection › sequence estimation
viterbi algorithm
0.012001
Estimation of co-channel signals with linear complexity · IEEE Trans. Commun. 2001
Optical networks
coherent optical communication
0.011997
Multilevel differential polarization shift keying · IEEE Trans. Commun. 1997
Physical-layer communications › modulation › shift keying
polarization shift keying
0.011997
Multilevel differential polarization shift keying · IEEE Trans. Commun. 1997
Physical-layer communications › modulation
differential modulation
0.011997
Multilevel differential polarization shift keying · IEEE Trans. Commun. 1997
Physical-layer communications
modulation
0.011997
Multilevel differential polarization shift keying · IEEE Trans. Commun. 1997
Computational photography and imaging
image formation
0.011975
New Outlook on Processing Radiation Received From Objects Viewed Through Randomly Fluctuating Media · IEEE Trans. Computers 1975

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

partitioned viterbi algorithm · 0.0interference cancellation · 0.0stokes space analysis · 0.0simulation · 0.0interferometry · 0.0holography · 0.0
YearPublicationVenuePosition
2001 Estimation of co-channel signals with linear complexity
abstract
To increase wireless system capacity using co-channel signals and multiple receiver antennas, we develop the partitioned Viterbi algorithm (PVA). The PVA estimation complexity increases linearly with each additional co-channel signal rather than exponentially as it does with joint maximum-likelihood sequence estimation (MLSE). The estimation problem involves multiple signals simultaneously transmitted and observed through slow-fading, frequency-selective channels. Although transmission is assumed to be in bursts according to a time-division multiple-access scheme, more than one signal can occupy the same time and frequency slot (these signals are referred to as "co-channel" signals). Separation and estimation of the symbol bursts is accomplished by exploiting channel differences, PVA estimation consists of a set of Viterbi detectors, one per signal, that operate in parallel with cross-coupling to allow approximate interference cancellation by means of tentative decisions. The forward filter of a decision feedback equalizer (DFE) is used to "prefilter" received signals prior to PVA estimation. Prefiltering delays the energy of interfering signals so that tentative decisions become reliable enough to use. Simulation results show PVA performance remains near-optimal with respect to the performance of joint MLSE.
Casey L. Miller, Desmond P. Taylor, Peter T. Gough
IEEE Trans. Commun.3
1997 Multilevel differential polarization shift keying
abstract
We analyze the performance of coherent optical communication systems which employ polarization shift keying (PolSK) modulation, introducing for the first time the requirements for multilevel, differential PolSK. For M-ary signal constellations with M>2, the three-dimensional (3-D) nature of the signal constellations within Stokes space requires the use of double-differential modulation and detection (M-DDPolSK). Coding constraints on the signals place an additional restriction on such systems. We present detailed analysis and simulations for a 6-DDPolSK modulation scheme in which the signal points are located at the vertices of an octahedron in Stokes space.
Richard J. Blaikie, Desmond P. Taylor, Peter T. Gough
IEEE Trans. Commun.3
1975 New Outlook on Processing Radiation Received From Objects Viewed Through Randomly Fluctuating Media
abstract
A unified approach to interferometry, holography, and the seeing problem is presented. Known interferometric techniques are arranged hierarchically and the concept of the "order" of an interferometer is introduced. When an interferometer is viewing a spatially incoherent object through a randomly fluctuating medium, it is argued that the field of view over which the observed data are isoplanatic depends upon the way in which the data are processed, and the processing methods depend upon the order of the interferometer. By appealing to the principles of Michelson interferometry, intensity interferometry, compound intensity interferometry, off-set holography, and the decomposition of observed radiation into its spatial frequency spectrum, it is found that a convenient characterization can be made of the conditions whereby objects can either be resolved (i.e., the sizes of the objects can be determined) or be imaged faithfully.
R. H. T. Bates, Peter T. Gough
IEEE Trans. Computers2