Results 11 to 20 of about 405,051 (265)
Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks [PDF]
Sensors, 2021 The direct-sequence spread-spectrum (DSSS) technique has been widely used in wireless secure communications. In this technique, the baseband signal is spread over a wider bandwidth using pseudo-random sequences to avoid interference or interception.
Shuang Zhang +3 more
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An Adaptive Ship Detection Scheme for Spaceborne SAR Imagery
Sensors, 2016 With the rapid development of spaceborne synthetic aperture radar (SAR) and the increasing need of ship detection, research on adaptive ship detection in spaceborne SAR imagery is of great importance.
Xiangguang Leng +4 more
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Detection of CRISPR adaptation [PDF]
Biochemical Society Transactions, 2020 Prokaryotic adaptive immunity is built when short DNA fragments called spacers are acquired into CRISPR (clustered regularly interspaced short palindromic repeats) arrays. CRISPR adaptation is a multistep process which comprises selection, generation, and incorporation of prespacers into arrays.
Anna Shiriaeva +3 more
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Adaptive Robust Radar Target Detector Based on Gradient Test
Remote Sensing, 2022 The exact knowledge of the signal steering vector is not always known, which may result in detection performance degradation when a signal mismatch occurs.
Zeyu Wang +3 more
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Leida xuebao, 2022 This study proposes a multi-rank range-spread target detection method for multi-channel array radar under a non-Gaussian clutter background. The method aims to detect the target from real clutter using the multi-channel array radar.
Yongchan GAO +3 more
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Adaptive Concept Drift Detection [PDF]
Proceedings of the 2009 SIAM International Conference on Data Mining, 2009 AbstractAn established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. The statistical theory offers rank‐based statistics for this task. However, these statistics depend on a fixed set of characteristics of the underlying distribution. Thus, they work well whenever the
Dries, Anton, Rückert, Ulrich
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Detection of Correlations With Adaptive Sensing [PDF]
IEEE Transactions on Information Theory, 2014 The problem of detecting correlations from samples of a high-dimensional Gaussian vector has recently received a lot of attention. In most existing work, detection procedures are provided with a full sample. However, following common wisdom in experimental design, the experimenter may have the capacity to make targeted measurements in an on-line and ...
Castro, Rui +2 more
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Adaptive Windows for Duplicate Detection [PDF]
2012 IEEE 28th International Conference on Data Engineering, 2012 Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, respectively. This task is difficult, because (i) representations might differ slightly, so some similarity measure must be defined to compare pairs of records and (ii) data sets might have a high volume making a pair-wise ...
Uwe Draisbach +3 more
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Detecting and Adapting to Novelty in Games
CoRR, 2021 10 pages, 5 figures, Accepted to the AAAI21 Workshop on on Reinforcement Learning in ...
Xiangyu Peng +2 more
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IET Radar, Sonar & Navigation, 2023 This study considers the problem of detecting range‐spread targets embedded in subspace interference plus Gaussian clutter with an unknown covariance matrix.
Tao Jian +5 more
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