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Kar-Ming Cheung

dblp:49/5924 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 1993
—ORCID · none

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

Computer networks · 2 · 1 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.

Theoretical computer science
4 papers
Coding theory · 100%
Computer networks
1 paper
Physical-layer communications · 100%

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

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes › error probability analysis
decoding error probability
0.021992
On the decoder error probability of block codes · IEEE Trans. Commun. 1992
More on the decoder error probability for Reed-Solomon codes · IEEE Trans. Inf. Theory 1989
Coding theory › error-correcting codes
convolutional codes
0.011993
Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993
Coding theory › source coding
quantization
0.011993
Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993
Coding theory › error-correcting codes › decoding
soft-decision decoding
0.011993
Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993
Coding theory › error-correcting codes
block codes
0.011992
On the decoder error probability of block codes · IEEE Trans. Commun. 1992
Coding theory › error-correcting codes › block codes
linear code
0.011990
Identities and approximations for the weight distribution of q -ary codes · IEEE Trans. Inf. Theory 1990
Coding theory › error-correcting codes
weight distribution
0.011990
Identities and approximations for the weight distribution of q -ary codes · IEEE Trans. Inf. Theory 1990
Coding theory › error-correcting codes
reed-solomon codes
0.011989
More on the decoder error probability for Reed-Solomon codes · IEEE Trans. Inf. Theory 1989
Physical-layer communications › modulation › phase-shift keying
BPSK
0.011993
Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993
Physical-layer communications
modulation
0.011993
Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993
Coding theory › error-correcting codes
q-ary codes
0.011990
Identities and approximations for the weight distribution of q -ary codes · IEEE Trans. Inf. Theory 1990
Coding theory
error-correcting codes
0.011989
More on the decoder error probability for Reed-Solomon codes · IEEE Trans. Inf. Theory 1989

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

viterbi decoding · 0.0cutoff rate analysis · 0.0weight distribution enumeration · 0.0combinatorial analysis · 0.0combinatorial enumeration · 0.0inclusion-exclusion principle · 0.0
YearPublicationVenuePosition
1993 Quantization loss in convolutional decoding
abstract
The loss in quantizing coded symbols in the additive white Gaussian noise (AWGN) channel with binary phase-shift keying (BPSK) or quadrature phase-shift keying (QPSK) modulation is discussed. A quantization scheme and branch metric calculation method are presented. For the uniformly quantized AWGN channel, cutoff rate is used to determine the step size and the smallest number of quantization bits needed for a given bit-signal-to-noise ratio (E/sub b//N/sub 0/) loss. A nine-level quantizer is presented, along with 3-b branch metrics for a rate-1/2 code, which causes an E/sub b//N/sub 0/ loss of only 0.14 dB. These results also apply to soft-decision decoding of block codes. A tight upper bound is derived for the range of path metrics in a Viterbi decoder. The calculations are verified by simulations of several convolutional codes, including the memory-14, rate-1/4 or -1/6 codes used by the big Viterbi decoders at JPL.>
Ivan M. Onyszchuk, Kar-Ming Cheung, Oliver Collins
IEEE Trans. Commun.2
1992 On the decoder error probability of block codes
abstract
By using coding and combinational techniques, an explicit formula is derived which enumerates the complete weight distribution of decodable words of block codes using partially known weight distributions. Also, an approximation formula for nonbinary block codes is obtained. These results give exact and approximate expressions for the decoder error probability P/sub E/(u) of block codes.>
Kar-Ming Cheung
IEEE Trans. Commun.1
1990 Identities and approximations for the weight distribution of q -ary codes
abstract
An explicit formula is derived that enumerates the complete weight distribution of an (n, k, d) linear code using a partially known weight distribution. An approximation formula for the weight distribution of q-ary linear (n, k, d) codes is also derived. It is shown that, for a given q-ary linear (n, k, d) code, the ratio of the number of codewords of weight u to the number of words of weight u approaches the constant Q=q/sup -(n-k)/ as u becomes large. The error term is a decreasing function of the minimum weight of the dual. The results are also valid for nonlinear (n, M, d) codes with the minimum weight of the dual replaced by the dual distance.>
Kar-Ming Cheung
IEEE Trans. Inf. Theory1
1989 More on the decoder error probability for Reed-Solomon codes
abstract
A combinatorial technique similar to the principle of inclusion and exclusion is used to obtain an exact formula for P/sub E/(u), the decoder error probability for Reed-Solomon codes. The P/sub E/(u) for the (255, 223) Reed-Solomon code used by NASA and for the (31, 15) Reed-Solomon code (JTIDS code) are calculated using the exact formula and are observed to approach the Qs of the codes rapidly as u gets large. An upper bound for the expression mod P/sub E/(u)/Q-1 mod is derived and shown to decrease nearly exponentially as u increases.>
Kar-Ming Cheung
IEEE Trans. Inf. Theory1