Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Fu-na Zhou"'
Publikováno v:
China Ocean Engineering. 36:959-968
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3f62e55e301b95d020ab1160b7cb43a
https://doi.org/10.1007/s13344-022-0084-x
https://doi.org/10.1007/s13344-022-0084-x
Publikováno v:
China Ocean Engineering. 35:750-758
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee24835c01aeee1db54285112fcb358
https://doi.org/10.1007/s13344-021-0066-4
https://doi.org/10.1007/s13344-021-0066-4
Publikováno v:
International Journal of Future Generation Communication and Networking. 9:255-262
Spatial light modulator (SLM) driving circuit is an important constituent of photoelectric signal conversion system which has a very broad application prospects in various fields such as image display, image recognition, high-speed optical computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dedc03311dd9fe9b1bb9ce2108a0e4d4
https://doi.org/10.14257/ijfgcn.2016.9.6.24
https://doi.org/10.14257/ijfgcn.2016.9.6.24
Publikováno v:
Acta Automatica Sinica. 35:971-982
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7885ca65b001ee532886770076b78d6d
https://doi.org/10.3724/sp.j.1004.2009.00971
https://doi.org/10.3724/sp.j.1004.2009.00971
Publikováno v:
2008 11th IEEE International Conference on Communication Technology.
To diagnose multiple faults of multivariate system, DCA (designated component analysis) is introduced to avoid the pattern compounding problem of PCA (principal component analysis). In this paper and a DCA based multi-level small fault diagnosis meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4400d98d2a187fd94435870a6e8f462
https://doi.org/10.1109/icct.2008.4716084
https://doi.org/10.1109/icct.2008.4716084
Publikováno v:
2008 International Conference on Machine Learning and Cybernetics.
Researches on multi-scale data fusion have become a hot topic in data fusion field. However, limited by the constraint that signal to implement wavelet transform must have the length of 2n, data fusion problem involved non-2n sampled observation data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1353e0c363a6521ee2d995149f8d1cd6
https://doi.org/10.1109/icmlc.2008.4621107
https://doi.org/10.1109/icmlc.2008.4621107
Publikováno v:
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).
In this paper, based on using an extremely efficient and highly parallelizable algorithm for optimal estimate of multiscale stochastic model, we develop how the multiscale model of q/sup th/-order tree can be used to represent 1-D reciprocal process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::722f2fed19401552c5d0af000efd7b66
https://doi.org/10.1109/wcica.2004.1340563
https://doi.org/10.1109/wcica.2004.1340563
Publikováno v:
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
In this article, we first illustrated the definition of multiscale analysis and dual equation of orthonormal rational wavelet, then using a 3/2 sampling rate wavelet as an example, we proposed a method to construct high-pass filter banks from low-pas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a949cc3f5388f421091987aad4807b9b
https://doi.org/10.1109/icmlc.2003.1259865
https://doi.org/10.1109/icmlc.2003.1259865
Publikováno v:
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
We develop a distributed hierarchical fusion inversion algorithm to multi-sensor inverse problem, which was motivated by the advantage of characterizing signal at different resolution levels of the wavelet transform. When we use the criterion based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdebc8c2178fe1ae6bd031bb94985fd7
https://doi.org/10.1109/icmlc.2003.1259921
https://doi.org/10.1109/icmlc.2003.1259921
Publikováno v:
2008 International Conference on Machine Learning & Cybernetics; 2008, p4029-4033, 5p