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Nirmal Singh Kambo

dblp:72/3823 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Coding theory › source coding
rate-distortion theory
0.011975
Kraft inequality for decoding with respect to non-balanced distortion measures (Corresp.) · IEEE Trans. Inf. Theory 1975
Coding theory
source coding
0.011975
Kraft inequality for decoding with respect to non-balanced distortion measures (Corresp.) · IEEE Trans. Inf. Theory 1975
Coding theory › channel coding
error probability bounds
0.011972
Best Exponential Upper Bounds to Error Probability Obtainable by Random Coding for Binary Symmetric Channels · Inf. Control. 1972
Coding theory › channel coding
random coding
0.011972
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
0.011975
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
0.011972
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
YearPublicationVenuePosition
2005 A simple moment based approximation to pairwise error probability for memoryless fading channels
abstract
This 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
PIMRC1
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.)
abstract
Campbell 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. Theory2
1972 Best Exponential Upper Bounds to Error Probability Obtainable by Random Coding for Binary Symmetric Channels
Nirmal Singh Kambo, Samar Singh
Inf. Control.1