Demo Data from EDBT 2026 / reviewers in the wild / expert
David R. Comstock
dblp:203/6413
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1984
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer 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 graphics and multimedia
1 paper |
Image and video coding · 100% | |
| Theoretical computer science
1 paper |
Coding theory · 100% | |
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › transform coding
discrete cosine transform coding |
0.0 | 1 | 1984 | Hamming Coding of DCT-Compressed Images Over Noisy Channels · IEEE Trans. Commun. 1984 |
Image and video coding
transform coding |
0.0 | 1 | 1984 | Hamming Coding of DCT-Compressed Images Over Noisy Channels · IEEE Trans. Commun. 1984 |
Coding theory
error-correcting codes |
0.0 | 1 | 1984 | Hamming Coding of DCT-Compressed Images Over Noisy Channels · IEEE Trans. Commun. 1984 |
Coding theory › error-correcting codes
hamming codes |
0.0 | 1 | 1984 | Hamming Coding of DCT-Compressed Images Over Noisy Channels · IEEE Trans. Commun. 1984 |
Physical-layer communications › channel coding
binary symmetric channel |
0.0 | 1 | 1984 | Hamming Coding of DCT-Compressed Images Over Noisy Channels · IEEE Trans. Commun. 1984 |
Physical-layer communications
channel coding |
0.0 | 1 | 1984 | Hamming Coding of DCT-Compressed Images Over Noisy Channels · IEEE Trans. Commun. 1984 |
Methods — techniques the papers use, named apart from their topics
mean squared error analysis · 0.0bit allocation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1984 | Hamming Coding of DCT-Compressed Images Over Noisy ChannelsabstractTheoretical and simulation results of using Hamming codes with the two-dimensional discrete cosine transform (2D-DCT) at a transmitted data rate of 1 bit/pixel over a binary symmetric channel (BSC) are presented. The design bit error rate (BER) of interest is 10-2. The (7, 4), (15, 11), and (31, 26) Hamming codes are used to protect the most important bits in each 16 by 16 transformed block, where the most important bits are determined by calculating the mean squared reconstruction error (MSE) contributed by a channel error in each individual bit. A theoretical expression is given which allows the number of protected bits to achieve minimum MSE for each code rate to be computed. By comparing these minima, the best code and bit allocation can be found. Objective and subjective performance results indicate that using the (7, 4) Hamming code to protect the most important 2D-DCT coefficients can substantially improve reconstructed image quality at a BER of 10-2. Furthermore, the allocation of 33 out of the 256 bits per block to channel coding does not noticeably degrade reconstructed image quality in the absence of channel errors. David R. Comstock, Jerry D. Gibson |
IEEE Trans. Commun. | 1 |