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John J. Knab

dblp:35/6009 · DBLP profile ↗
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5ranked-venue papers
5as first author
0since 2021 · last 1983
—ORCID · none

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

Theory of computation · 4 · 4 first-authorComputer 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.

Theoretical computer science
4 papers
Information theory · 51% Coding theory · 49%
Computer graphics and multimedia
1 paper
Image and video coding · 87% Image and video processing · 13%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › channel coding
error probability bounds		 0.031979
Interpolation of band-limited functions using the approximate prolate series (Corresp.) · IEEE Trans. Inf. Theory 1979
A system error bound for the self-truncating reconstructing filter class (Corresp.) · IEEE Trans. Inf. Theory 1975
System error bounds for Lagrange polynomial estimation of band-limited functions (Corresp.) · IEEE Trans. Inf. Theory 1975
Information theory
truncation error		 0.011983
The sampling window · IEEE Trans. Inf. Theory 1983
Coding theory › channel coding › error probability bounds
truncation error bound		 0.021979
Interpolation of band-limited functions using the approximate prolate series (Corresp.) · IEEE Trans. Inf. Theory 1979
A system error bound for the self-truncating reconstructing filter class (Corresp.) · IEEE Trans. Inf. Theory 1975
Image and video coding › transform coding
hadamard transform		 0.011977
Effects of Round-Off Noise on Hadamard Transformed Imagery · IEEE Trans. Commun. 1977
Image and video coding
transform coding		 0.011977
Effects of Round-Off Noise on Hadamard Transformed Imagery · IEEE Trans. Commun. 1977
Information theory › estimation theory
signal estimation		 0.011975
System error bounds for Lagrange polynomial estimation of band-limited functions (Corresp.) · IEEE Trans. Inf. Theory 1975
Information theory › signal processing
signal recovery		 0.011975
A system error bound for the self-truncating reconstructing filter class (Corresp.) · IEEE Trans. Inf. Theory 1975
Image and video processing
image restoration		 0.011977
Effects of Round-Off Noise on Hadamard Transformed Imagery · IEEE Trans. Commun. 1977

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

sampling window · 0.0simulation · 0.0self-truncating reconstruction filter · 0.0lagrange interpolation · 0.0approximate prolate series · 0.0
YearPublicationVenuePosition
1983 The sampling window
abstract
The concept of the sampling window is introduced for the central interpolation of finite energy band-limited functions. The sampling window does not increase the rate of convergence of the truncation error series, as do various convergence factors, but does significantly reduce the truncation-error bound.
John J. Knab
 IEEE Trans. Inf. Theory1
1979 Interpolation of band-limited functions using the approximate prolate series (Corresp.)
abstract
A new series for the interpolation of band-limited functions is found by using an approximation to tho prolate spheroidal wave function as a convergence factor. A truncation error bound is found for the central interpolation of band-limited functions using the new series. It is shown that this bound is lower than other known bounds in many cases of interest.
John J. Knab
 IEEE Trans. Inf. Theory1
1977 Effects of Round-Off Noise on Hadamard Transformed Imagery
abstract
The effects of hardware round-off error when using the two-dimensional Hadamard transform to code 8 by 8 pixel subpicture blocks of imagery are presented. The simulations show that at least 8 bits of precision are desirable.
John J. Knab
 IEEE Trans. Commun.1
1975 System error bounds for Lagrange polynomial estimation of band-limited functions (Corresp.)
abstract
Several recent articles [1]-[3] have discussed the use of Lagrange polynomials for band-limited signal estimation. We find error bounds when using Lagrange polynomials for interpolation and extrapolation of finite-power band-limited signals if a finite number of regularly spaced noisy samples are used.
John J. Knab
 IEEE Trans. Inf. Theory1
1975 A system error bound for the self-truncating reconstructing filter class (Corresp.)
abstract
The error signal at the output of a sampling reconstruction filter caused by uncorrelated noise samples is analyzed. This error is combined with a truncation error bound for the class of "self-truncating" reconstruction filters [1] to give a system error bound for a bounded class of band-limited signals.
John J. Knab, Morton I. Schwartz
 IEEE Trans. Inf. Theory1