Demo Data from EDBT 2026 / reviewers in the wild / expert
Nirmal Singh Kambo
dblp:72/3823
· DBLP profile ↗
5ranked-venue papers
4as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 2 first-authorTheory of computation · 2 · 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.
| Theoretical computer science
2 papers |
Coding theory · 95% Information theory · 5% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding
rate-distortion theory |
0.0 | 1 | 1975 | Kraft inequality for decoding with respect to non-balanced distortion measures (Corresp.) · IEEE Trans. Inf. Theory 1975 |
Coding theory
source coding |
0.0 | 1 | 1975 | Kraft inequality for decoding with respect to non-balanced distortion measures (Corresp.) · IEEE Trans. Inf. Theory 1975 |
Coding theory › channel coding
error probability bounds |
0.0 | 1 | 1972 | Best Exponential Upper Bounds to Error Probability Obtainable by Random Coding for Binary Symmetric Channels · Inf. Control. 1972 |
Coding theory › channel coding
random coding |
0.0 | 1 | 1972 | Best Exponential Upper Bounds to Error Probability Obtainable by Random Coding for Binary Symmetric Channels · Inf. Control. 1972 |
Coding theory › source coding › variable-length codes
kraft inequality |
0.0 | 1 | 1975 | Kraft inequality for decoding with respect to non-balanced distortion measures (Corresp.) · IEEE Trans. Inf. Theory 1975 |
Information theory › communication channels › channel models › binary-input channel
binary symmetric channel |
0.0 | 1 | 1972 | Best Exponential Upper Bounds to Error Probability Obtainable by Random Coding for Binary Symmetric Channels · Inf. Control. 1972 |
Methods — techniques the papers use, named apart from their topics
random coding · 0.0exponential bounds · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | A simple moment based approximation to pairwise error probability for memoryless fading channelsabstractThis paper provides a simple approximation to pairwise error probability for memoryless fading channels when there is no channel state information at the decoder. The derived approximation is independent of the fading process and depends only on the mean and variance of the fading distribution. The new approximation is considerably better than an already existing approximation and a bound for low signal to noise ratio values. It can be applied to obtain average union upper bounds for block and turbo-like coding schemes. Plots for pairwise error probability for Rician, Rayleigh and Nakagami-m fading channels along with average union upper bounds for turbo codes with (1,5/7,5/7) generator polynomial are given to illustrate improvement in already published work Nirmal Singh Kambo, Seyid Amjad Ali, Erhan A. Ince |
PIMRC | 1 |
| 1980 | An upper bound on the mean-square error in the sampling expansion for non-band-limited processes
Nirmal Singh Kambo, F. C. Mehta |
Inf. Sci. | 1 |
| 1980 | Truncation error for band-limited nonstationary processes
Nirmal Singh Kambo, F. C. Mehta |
Inf. Sci. | 1 |
| 1975 | Kraft inequality for decoding with respect to non-balanced distortion measures (Corresp.)abstractCampbell has given a generalized Kraft inequality and related results for decoding with respect to a fidelity criterion. His results are, however, restricted to "row-balanced" distortion matrices for finite-alphabet sources. We generalize these results to any distortion matrix. Samar Singh, Nirmal Singh Kambo |
IEEE Trans. Inf. Theory | 2 |
| 1972 | Best Exponential Upper Bounds to Error Probability Obtainable by Random Coding for Binary Symmetric Channels
Nirmal Singh Kambo, Samar Singh |
Inf. Control. | 1 |