Demo Data from EDBT 2026 / reviewers in the wild / expert
Kar-Ming Cheung
dblp:49/5924
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › error probability analysis
decoding error probability |
0.0 | 2 | 1992 | 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 |
0.0 | 1 | 1993 | Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993 |
Coding theory › source coding
quantization |
0.0 | 1 | 1993 | Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993 |
Coding theory › error-correcting codes › decoding
soft-decision decoding |
0.0 | 1 | 1993 | Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993 |
Coding theory › error-correcting codes
block codes |
0.0 | 1 | 1992 | On the decoder error probability of block codes · IEEE Trans. Commun. 1992 |
Coding theory › error-correcting codes › block codes
linear code |
0.0 | 1 | 1990 | Identities and approximations for the weight distribution of q -ary codes · IEEE Trans. Inf. Theory 1990 |
Coding theory › error-correcting codes
weight distribution |
0.0 | 1 | 1990 | Identities and approximations for the weight distribution of q -ary codes · IEEE Trans. Inf. Theory 1990 |
Coding theory › error-correcting codes
reed-solomon codes |
0.0 | 1 | 1989 | More on the decoder error probability for Reed-Solomon codes · IEEE Trans. Inf. Theory 1989 |
Physical-layer communications › modulation › phase-shift keying
BPSK |
0.0 | 1 | 1993 | Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993 |
Physical-layer communications
modulation |
0.0 | 1 | 1993 | Quantization loss in convolutional decoding · IEEE Trans. Commun. 1993 |
Coding theory › error-correcting codes
q-ary codes |
0.0 | 1 | 1990 | Identities and approximations for the weight distribution of q -ary codes · IEEE Trans. Inf. Theory 1990 |
Coding theory
error-correcting codes |
0.0 | 1 | 1989 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Quantization loss in convolutional decodingabstractThe 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 codesabstractBy 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 codesabstractAn 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. Theory | 1 |
| 1989 | More on the decoder error probability for Reed-Solomon codesabstractA 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. Theory | 1 |