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Spectral edge frequency
Known as:
SEF
The spectral edge frequency or SEF is a measure used in signal processing. It is usually expressed as "SEF x", which stands for the frequency below…
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Related topics
Related topics
4 relations
Broader (2)
Electroencephalography
Signal processing
Spectral density
Time series
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Automatic Optic Disc and Fovea Detection in Retinal Images Using Super-Elliptical Convergence Index Filters
B. Dashtbozorg
,
Jiong Zhang
,
F. Huang
,
B. T. H. Romeny
International Conference on Image Analysis and…
2016
Corpus ID: 40721145
This paper presents an automatic optic disc (OD) and fovea detection technique using an innovative super-elliptical filter (SEF…
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2011
2011
A Comparison of Three Algorithms for Approximating the Distance Distribution in Real-World Graphs
P. Crescenzi
,
R. Grossi
,
L. Lanzi
,
Andrea Marino
Theory and Practice of Algorithms in (Computer…
2011
Corpus ID: 33887827
The distance for a pair of vertices in a graph G is the length of the shortest path between them. The distance distribution for G…
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Highly Cited
2010
Highly Cited
2010
A Dynamic En-route Filtering Scheme for Data Reporting in Wireless Sensor Networks
Zhen Yu
,
Y. Guan
IEEE/ACM Transactions on Networking
2010
Corpus ID: 16411136
In wireless sensor networks, adversaries can inject false data reports via compromised nodes and launch DoS attacks against…
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2009
2009
Trust Evaluation in Composite Services Selection and Discovery
Lei Li
,
Yan Wang
IEEE International Conference on Services…
2009
Corpus ID: 6341188
In Serviced-Oriented Computing (SOC) environments, the trust level of a service or a service provider is a critical issue for a…
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2009
2009
Cluster adaptation method to enhance performance of filtering scheme in sensor networks
Byung Hee Kim
,
S. Moon
,
H. Lee
,
C. Sun
,
T. Cho
International Conference on Advanced…
2009
Corpus ID: 9359786
Sensor networks are the next generation of technology for use in various applications, including tracking, monitoring and control…
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2007
2007
Modeling non-gaussian noise for robust image analysis
S. Ieng
,
Jean-Philippe Tarel
,
P. Charbonnier
International Conference on Computer Vision…
2007
Corpus ID: 13171092
: Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as…
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2000
2000
Optimum design for residential photovoltaic‐thermal binary utilization system by minimizing auxiliary energy
T. Fujisawa
,
T. Tani
2000
Corpus ID: 111242626
Possible designs for a self‐sufficient residential binary solar energy include a side‐by‐side system, a PVT hybrid system, and a…
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Review
1998
Review
1998
DEVELOPMENT AND EVALUATION OF SIGHTABILITY MODELS FOR SUMMER ELK SURVEYS
C. Anderson
,
Dave Moody
,
Bruce L. Smith
,
F. Lindzey
,
Robert P. Lanka
1998
Corpus ID: 54772614
We developed 2 sightability models from summer helicopter surveys of radiocollared elk (Cervus elaphus) in Grand Teton National…
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1997
1997
Modeling methodology for elastomer dynamics
H. Banks
,
N. Lybeck
1997
Corpus ID: 136504841
As engineering applications of elastomers increase in complexity, knowledge of the behavior of these materials, and the ability…
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1986
1986
Soft-error filtering: A solution to the reliability problem of future VLSI digital circuits
Y. Savaria
,
N. Rumin
,
J. Hayes
,
Vinold K. Agarwal
Proceedings of the IEEE
1986
Corpus ID: 35404904
As the semiconductor industry continues to scale down the feature sizes in VLSI digital circuits, soft errors will eventually…
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