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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.
2014
2014
Evaluation of Detection Performance under Employment of the Generalized Detector in Radar Sensor Systems
M. Shbat
,
V. Tuzlukov
2014
Corpus ID: 11516413
The detection performance of the generalized detector (GD) constructed based on the generalized approach to signal processing in…
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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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2010
2010
Signal Processing Techniques for Spectrum Sensing in Cognitive Radio Networks
D. Rawat
,
Guowei Yan
,
C. Bajracharya
2010
Corpus ID: 14244718
The rising number and capacity requirements of wireless systems bring increasing demand for RF spectrum. Cognitive radio (CR…
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2010
2010
Recovery of frequency-sparse signals from compressive measurements
Marco F. Duarte
,
Richard Baraniuk
Allerton Conference on Communication, Control…
2010
Corpus ID: 3208906
Compressive sensing (CS) is a new approach to simultaneous sensing and compression for sparse and compressible signals. While the…
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1999
1999
Using the receiver operating characteristic to asses the performance of neural classifiers
T. Downey
,
D. J. Meyer
,
R. K. 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. D. Gaudenzi
,
F. 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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