Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm

scientific article published on 11 February 2018

Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/sensors/XuSGQLX18
P356DOI10.3390/S18020554
P932PMC publication ID5855325
P698PubMed publication ID29439495

P50authorYingsong LiQ59910197
Yidong XuQ96009135
Wenjing ShangQ96009138
P2093author name stringWei Xue
Lili Guo
Junwei Qi
P2860cites workEEG and MEG: forward solutions for inverse methodsQ74653611
Multiple dipole modeling and localization from spatio-temporal MEG data.Q30351041
Self-Consistent MUSIC: An approach to the localization of true brain interactions from EEG/MEG data.Q30372476
Noise covariance incorporated MEG-MUSIC algorithm: a method for multiple-dipole estimation tolerant of the influence of background brain activityQ30428299
Recursive MUSIC: a framework for EEG and MEG source localizationQ30431905
Mathematical modelling of the electric sense of fish: the role of multi-frequency measurements and movement.Q45948678
Reactive underwater object inspection based on artificial electric sense.Q49158513
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue2
P407language of work or nameEnglishQ1860
P921main subjectclassification algorithmQ1744627
P577publication date2018-02-11
P1433published inSensorsQ3478643
P1476titleActive Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
P478volume18