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Erich E. Sutter

dblp:63/6472 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none

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

Theory of computation · 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
1 paper
Algorithms and data structures · 65% Coding theory · 35%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › linear algebra › linear algebra algorithms
fast transforms
0.011991
The Fast m-Transform: A Fast Computation of Cross-Correlations with Binary m-Sequences · SIAM J. Comput. 1991
Coding theory › hadamard matrices
hadamard transform
0.011991
The Fast m-Transform: A Fast Computation of Cross-Correlations with Binary m-Sequences · SIAM J. Comput. 1991
Algorithms and data structures › numerical algorithms
transform computation
0.011991
The Fast m-Transform: A Fast Computation of Cross-Correlations with Binary m-Sequences · SIAM J. Comput. 1991
Algorithms and data structures › linear algebra › linear algebra algorithms › fast transforms
walsh-hadamard transform
0.011991
The Fast m-Transform: A Fast Computation of Cross-Correlations with Binary m-Sequences · SIAM J. Comput. 1991
Coding theory › sequences › pseudorandom sequences
cross correlation
0.011991
The Fast m-Transform: A Fast Computation of Cross-Correlations with Binary m-Sequences · SIAM J. Comput. 1991
Coding theory › sequences › pseudorandom sequences
m-sequences
0.011991
The Fast m-Transform: A Fast Computation of Cross-Correlations with Binary m-Sequences · SIAM J. Comput. 1991

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

permutation · 0.0in-place computation · 0.0
YearPublicationVenuePosition
1991 The Fast m-Transform: A Fast Computation of Cross-Correlations with Binary m-Sequences
abstract
An algorithm is presented for the fast computation of the m-transform, a Hadamard transform intimately related to cross-correlation of analog signals with binary m-sequences. It is shown that m-transforms are in the same Hadamard equivalence class as Walsh–Hadamard transforms and can, thus, becomputed by means of the Fast Walsh Transform (FWT) algorithm, preceded and followed by a permutation. The FWT is performed in place in the original data array, while the permutations are executed during loading and reading of this array. Real-time generation of the array addresses for loading and reading adds little to execution time of the FWT. The implementation described here lends itself particularly well to applications in linear and nonlinear systems analysis.
Erich E. Sutter
SIAM J. Comput.1