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Propagation of uncertainty
Known as:
Propagated error
, Propogation of error
, Uncertainty propagation software
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In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random…
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Related topics
Related topics
16 relations
Approximation error
Automatic differentiation
Dead reckoning
Error analysis (mathematics)
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Broader (1)
Numerical analysis
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2005
Highly Cited
2005
Performance evaluation of MPEG-4 video streaming over UMTS networks using an integrated tool environment
A. Lo
,
G. Heijenk
,
I. Niemegeers
2005
Corpus ID: 15580153
Universal Mobile Telecommunications System (UMTS) is a third-generation mobile communications system that supports wireless…
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2005
2005
STBC-VBLAST for MIMO wireless communication systems
Tianyu Mao
,
M. Motani
IEEE International Conference on Communications…
2005
Corpus ID: 9232614
The vertical Bell-labs layered space-time (VBLAST) scheme can be used to exploit the capacity potential provided by multiple…
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Highly Cited
2003
Highly Cited
2003
Multi-Level Fault Injections in VHDL Descriptions: Alternative Approaches and Experiments
R. Leveugle
,
K. Hadjiat
Journal of electronic testing
2003
Corpus ID: 27584885
The probability of transient faults increases with the evolution of technologies. There is a corresponding increased demand for…
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Highly Cited
1999
Highly Cited
1999
Analysis of error propagation in hybrid video coding with application to error resilience
Nikolaus Färber
,
Klaus Stuhlmüller
,
B. Girod
Proceedings International Conference on Image…
1999
Corpus ID: 14131810
A theoretical analysis of the overall mean squared error (MSE) in hybrid video coding is presented for the case of error prone…
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Highly Cited
1996
Highly Cited
1996
Test response compaction using multiplexed parity trees
K. Chakrabarty
,
J. Hayes
IEEE Trans. Comput. Aided Des. Integr. Circuits…
1996
Corpus ID: 17965045
Built-in self-testing requires test response streams from many observation points to be merged (space compaction) and compressed…
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Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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Highly Cited
1993
Highly Cited
1993
The Design of Fault-Tolerant Linear Digital State Variable Systems: Theory and Techniques
A. Chatterjee
,
M. d'Abreu
IEEE Trans. Computers
1993
Corpus ID: 37660596
A theory for error detection in linear digital state variable systems is described. With the aid of a tool called the gain matrix…
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Highly Cited
1989
Highly Cited
1989
Coset codes for partial response channels; or, coset codes with spectral nulls
G. Forney
,
A. Calderbank
IEEE Transactions on Information Theory
1989
Corpus ID: 27461065
Known coset codes are adapted for use on partial response channels or to generate signals with spectral nulls. By using coset…
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Review
1980
Review
1980
Statistical models for the image restoration problem
B. Frieden
1980
Corpus ID: 123096846
Review
1978
Review
1978
Errors in Practical Measurement in Science, Engineering, and Technology
B. A. Barry
,
M. Morris
1978
Corpus ID: 198311210
This book discusses statistical measurement, error theory, and statistical error analysis. The topics of the book include an…
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