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Detection theory
Known as:
Signal-detection theory
, Signal detection theory
, Signal detection
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Detection theory or signal detection theory is a means to quantify the ability to discern between information-bearing patterns (called stimulus in…
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Related topics
Related topics
28 relations
Artificial intelligence
Binary classification
Confusion matrix
Constant false alarm rate
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Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Trend or no trend : a novel nonparametric method for classifying time series
Stanislav Nikolov
2012
Corpus ID: 53900587
In supervised classification, one attempts to learn a model of how objects map to labels by selecting the best model from some…
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2010
2010
Distributed Compressive Wideband Spectrum Sensing in Cooperative Multi-Hop Cognitive Networks
Fanzi Zeng
,
Z. Tian
,
Chen Li
IEEE International Conference on Communications
2010
Corpus ID: 2975171
This paper develops a distributed compressed spectrum sensing approach for cooperative wideband multi-hop cognitive radio (CR…
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2009
2009
A Fiber Optic Seismic Sensor for Unattended Ground Sensing Applications
Joseph Dorleus
,
Yan Zhang
,
Jing Ning
,
T. Koscica
,
Hongbin Li
,
Hong-Liang Cui
2009
Corpus ID: 33032800
Abstract : Fiber optic seismic sensors have been increasingly recognized as promising technologies for many applications, such as…
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2008
2008
New Enhanced Sensitivity Detection Techniques for GPS L1 C/A and Modernized Signal Acquisition
Surendran K. Shanmugam
2008
Corpus ID: 62064214
Throughout history, there has been a constant effort to master the art of navigation for its importance in trade and commerce…
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2002
2002
ICI cancellation in OFDM wireless communication systems
Jun Cai
,
J. Mark
,
Xuemin Shen
Global Telecommunications Conference, . GLOBECOM…
2002
Corpus ID: 46695390
A novel intercarrier interference (ICI) cancellation scheme for orthogonal frequency-division multiplexing (OFDM) wireless…
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1999
1999
Using the receiver operating characteristic to asses the performance of neural classifiers
Thomas J. Downey
,
D. J. Meyer
,
R. Price
,
E. Spitznagel
IJCNN'99. International Joint Conference on…
1999
Corpus ID: 6925847
As artificial neural networks continue to find usefulness in fields which historically favor more traditional statistical methods…
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1998
1998
Design of a low-complexity adaptive interference-mitigating detector for DS/SS receivers in CDMA radio networks
R. de Gaudenzi
,
Filippo Giannetti
,
M. Luise
IEEE Transactions on Communications
1998
Corpus ID: 1983160
Code-division multiple-access (CDMA) with direct-sequence/spread-spectrum (DS/SS) modulated signals has emerged as a strong…
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1995
1995
Classification of voiceband data signals using the constellation magnitude
N. Benvenuto
,
T. Goeddel
IEEE Transactions on Communications
1995
Corpus ID: 22533087
We discuss the real time classification of high speed (/spl ges/4800 b/s) voiceband data signals using blind or self-recovering…
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1989
1989
Experimental spreading and despreading of the optical spectrum
G. Vannucci
,
S. Yang
IEEE Transactions on Communications
1989
Corpus ID: 26255294
An experimental realization of direct-sequence spreading and despreading of the optical spectrum using off-the-shelf electrooptic…
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Highly Cited
1981
Highly Cited
1981
Implementation of a fast digital processor using the residue number system
Chao H. Huang
,
D. Peterson
,
H. Rauch
,
J. Teague
,
D. Fraser
1981
Corpus ID: 62444770
This paper contains a description of a special purpose digital processor which has been implemented using residue arithmetic. The…
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