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Karl Knauer

dblp:271/9032 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1979
—ORCID · none

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

Computer networks · 1

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
Computational photography and imaging · 62% Image and video processing · 38%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging
image acquisition		 0.011979
Antialiasing Filter with an Improved S/N Ratio · IEEE Trans. Commun. 1979
Image and video processing › image restoration
image denoising		 0.011979
Antialiasing Filter with an Improved S/N Ratio · IEEE Trans. Commun. 1979
Image and video processing
signal-to-noise ratio improvement		 0.011979
Antialiasing Filter with an Improved S/N Ratio · IEEE Trans. Commun. 1979

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

charge packet summation · 0.0
YearPublicationVenuePosition
1979 Antialiasing Filter with an Improved S/N Ratio
abstract
If a CCD low-pass filter is used for antialiasing, a higher data rate is necessary at the input compared to the output. This difference in the data rate is used to increase the signal-to-noise ratio. By adding a given number of consecutive charge packets at the output stage, the output data rate can be reduced until the Nyquist theorem for the output signal is violated. By summing up those charge packets, the signal is added arithmetically whereas the noise, not being correlated, is added geometrically. This results in an improvement of the S/N ratio equal to the number of charge packets added.
Hans-Jörg Pfleiderer, Karl Knauer
 IEEE Trans. Commun.2