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Rejection sampling
Known as:
Acceptance-rejection method
, Rejection method
, Adaptive rejection sampling
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In mathematics, rejection sampling is a basic technique used to generate observations from a distribution. It is also commonly called the acceptance…
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Related topics
Related topics
19 relations
Bach's algorithm
Box–Muller transform
Computational statistics
Curse of dimensionality
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Wireless Video Quality Assessment: A Study of Subjective Scores and Objective Algorithms
Anush K. Moorthy
,
K. Seshadrinathan
,
R. Soundararajan
,
A. Bovik
IEEE transactions on circuits and systems for…
2010
Corpus ID: 10481554
Evaluating the perceptual quality of video is of tremendous importance in the design and optimization of wireless video…
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Highly Cited
2006
Highly Cited
2006
Broadband quasi-Chebyshev bandpass filters with multimode stepped-impedance resonators (SIRs)
Y. Chiou
,
J. Kuo
,
E. Cheng
IEEE transactions on microwave theory and…
2006
Corpus ID: 17516440
Planar broadband bandpass filters of order up to 9 are synthesized based on the multimode property of stepped-impedance…
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Highly Cited
2005
Highly Cited
2005
A new two-stage sharpened comb decimator
G. Jovanovic-Dolecek
,
S. Mitra
IEEE Transactions on Circuits and Systems Part 1…
2005
Corpus ID: 23553118
This paper presents a new sharpened comb decimator structure consisting of a cascade of a comb-filter based decimator and a…
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Highly Cited
2005
Highly Cited
2005
Data fusion in biometrics
Marcos Faundez-Zanuy
IEEE Aerospace and Electronic Systems Magazine
2005
Corpus ID: 2737532
Any biometric system has drawbacks and cannot warranty 100% identification rates, nor 0% false acceptance and rejection ratios…
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Highly Cited
2000
Highly Cited
2000
Obtaining controller parameters for a new Smith predictor using autotuning
S. Majhi
,
D. Atherton
at - Automatisierungstechnik
2000
Corpus ID: 15480973
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
Rejection of unknown periodic load disturbances in continuous steel casting process using learning repetitive control approach
T. Manayathara
,
T. Tsao
,
J. Bentsman
Proceedings of 8th IEEE International Symposium…
1993
Corpus ID: 20448086
The design and implementation of a discrete time repetitive controller for the continuous steel casting process that is used for…
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Highly Cited
1993
Highly Cited
1993
Analysis of a direct-sequence spread-spectrum cellular radio system
C. Kchao
,
Gordon L. Stüber
IEEE Transactions on Communications
1993
Corpus ID: 45176924
The uplink and downlink performance of a digital cellular radio system that uses direct sequence code division multiple access is…
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Highly Cited
1981
Highly Cited
1981
Spectrum analysis using optical processing
T. Turpin
Proceedings of the IEEE
1981
Corpus ID: 29912772
Spectrum analysis is one of the most fundamental tools in science today. Its use in one form or another spans virtually every…
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Highly Cited
1977
Highly Cited
1977
A method for merging the results of separate least-squares fits and testing for systematic errors
D. Albritton
,
A. Schmeltekopf
,
R. Zare
1977
Corpus ID: 55891798
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