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Robert W. Chang

dblp:259/1837 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 1980
0000-0003-2765-9537ORCID · corroborated

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

Computer networks · 2 · 2 first-authorTheory of computation · 2 · 2 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
3 papers
Physical-layer communications · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 100%
Theoretical computer science
1 paper
Information theory · 56% Coding theory · 44%

Topics — the 12 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › equalization
adaptive equalization
0.011980
Carrier Recovery for Data Communication Systems with Adaptive Equalization · IEEE Trans. Commun. 1980
Physical-layer communications › synchronization
carrier recovery
0.011980
Carrier Recovery for Data Communication Systems with Adaptive Equalization · IEEE Trans. Commun. 1980
Physical-layer communications › synchronization
timing recovery
0.011980
Carrier Recovery for Data Communication Systems with Adaptive Equalization · IEEE Trans. Commun. 1980
Physical-layer communications
synchronization
0.011972
Stability Analysis of a Digital Rate-Locked Loop · IEEE Trans. Commun. 1972
Integrated circuit design › analog and mixed-signal circuits
mixed-signal circuit design
0.011972
Stability Analysis of a Digital Rate-Locked Loop · IEEE Trans. Commun. 1972
Physical-layer communications › channel estimation
maximum likelihood estimation
0.011980
Carrier Recovery for Data Communication Systems with Adaptive Equalization · IEEE Trans. Commun. 1980
Physical-layer communications
optical communication
0.011969
Photon detection for an optical pulse code modulation system (Corresp.) · IEEE Trans. Inf. Theory 1969
Physical-layer communications › modulation › pulse modulation
pulse code modulation
0.011969
Photon detection for an optical pulse code modulation system (Corresp.) · IEEE Trans. Inf. Theory 1969
Coding theory
channel coding
0.011966
On receiver structures for channels having memory · IEEE Trans. Inf. Theory 1966
Information theory › communication channels › channel models
channels with memory
0.011966
On receiver structures for channels having memory · IEEE Trans. Inf. Theory 1966
Physical-layer communications
signal detection
0.011969
Photon detection for an optical pulse code modulation system (Corresp.) · IEEE Trans. Inf. Theory 1969
Information theory › communication channels
intersymbol interference
0.011966
On receiver structures for channels having memory · IEEE Trans. Inf. Theory 1966

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

nonlinear differential-integral equation analysis · 0.0minimum mean-square error · 0.0maximum likelihood estimation · 0.0signal-to-noise ratio optimization · 0.0sequential decision procedure · 0.0markov source · 0.0
YearPublicationVenuePosition
1980 Carrier Recovery for Data Communication Systems with Adaptive Equalization
abstract
This paper describes the problem of carrier recovery for adaptively equalized data communication receivers. A conventional receiver structure that employs baseband equalizers is considered first, and a practical method for jointly adjusting the demodulating carrier and the equalizer is briefly described. The reader is then introduced to an equalizer time delay problem critical to the system's performance. The first remedy for this problem involves the use of dual-mode carrier control loops. A method for designing such loops is presented and its use is illustrated by a conceptual design and a numerical example. The second remedy is to adopt a passband equalizer receiver structure. A tutorial introduction to this concept and a summary of the basic principles involved are presented. This paper concludes by reviewing related timing recovery problems. Joint design approaches such as the maximum likelihood estimate approach and the minimum mean-square error approach will be described and compared.
Robert W. Chang, R. Srinivasagopalan
IEEE Trans. Commun.1
1972 Stability Analysis of a Digital Rate-Locked Loop
abstract
We analyze the locking properties of a digital rate-locked loop that may be used to synchronize a slave oscillator with a master. Formulating the dynamics of this system by a nonlinear differentialintegral equation, we rigorously prove that in the absence of filtering in the loop the slave oscillator output waveform has periodic zero crossings occurring at exactly the same rate as those of the master oscillator. The main requirement for this is only that the quantization of the staircase comparator in the slave oscillator not be too coarse. A similar proof for a more general loop remains elusive.
Robert W. Chang, James E. Mazo, Jack Salz
IEEE Trans. Commun.1
1969 Photon detection for an optical pulse code modulation system (Corresp.)
abstract
A mathematical model is formulated for an optical PCM system. Using the signal-to-noise ratio at the decision circuit as the performance criterion, the optimization of a nonlinear detector is carried out. Closed-form expressions for the jointly optimum electrical filtering and biasing, and for the maximum signal-to-noise ratio are obtained.
Robert W. Chang
IEEE Trans. Inf. Theory1
1966 On receiver structures for channels having memory
abstract
This paper is concerned withm-ary communication channels(m \geq 2)having intersymbol interference betweenLtime periods(L \geq 2). Receiver structures are developed for making jointly optimum (minimum probability of error) decisions aboutLconsecutive symbols on the basis of the complete message received. The decision statistics are computed by a sequential procedure, and the number of computations increases only linearly with the message length. The method can be applied to the general problem of making decisions about the states of a discrete-state Markov information source which is observable only through a channel with additive Gaussian or non-Gaussian noise.
Robert W. Chang, John C. Hancock
IEEE Trans. Inf. Theory1