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Volumn 36, Issue 11, 2003, Pages 2699-2712

Removal of bird-contaminated wind profiler data based on neural networks

Author keywords

Bird removal; Doppler radar system; Feedforward neural network; Neuro fuzzy system; Quantum neural network; Wind profiler

Indexed keywords

DOPPLER RADAR; WIND EFFECTS;

EID: 0141639603     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(03)00165-1     Document Type: Article
Times cited : (11)

References (21)
  • 1
    • 0000343699 scopus 로고    scopus 로고
    • Multiple peak processing algorithm for identification of atmospheric signals in Doppler radar wind profiler data
    • Griesser T. Richner H. Multiple peak processing algorithm for identification of atmospheric signals in Doppler radar wind profiler data Meteorol. Z. NF 7 1998 292-302
    • (1998) Meteorol. Z. NF , vol.7 , pp. 292-302
    • Griesser, T.1    Richner, H.2
  • 4
    • 0006884762 scopus 로고    scopus 로고
    • The extent of bird contamination in the hourly winds measured by the NOAA profiler network: Results before and after implementation of the new bird contamination quality control check
    • Long Beach, CA, February 2-7
    • P.A. Miller, M. F. Barth, J. R. Smart, L. A. Benjamin, The extent of bird contamination in the hourly winds measured by the NOAA profiler network: Results before and after implementation of the new bird contamination quality control check, Proceedings of the First Symposium on Integrated Observing Systems, Long Beach, CA, February 2-7, 1997, pp. 138-144.
    • (1997) Proceedings of the First Symposium on Integrated Observing Systems , pp. 138-144
    • CMiller, P.A.1    Barth, M.F.2    Smart, J.R.3    Benjamin, L.A.4
  • 7
    • 0000902637 scopus 로고    scopus 로고
    • Removing ground and intermittent clutter contamination from wind profiler signals using wavelet transforms
    • Jordan J.R. Lataitis R.J. Carter D.A. Removing ground and intermittent clutter contamination from wind profiler signals using wavelet transforms J. Atmos. Ocean Technol. 14 6 1997 1280-1297
    • (1997) J. Atmos. Ocean Technol. , vol.14 , Issue.6 , pp. 1280-1297
    • Jordan, J.R.1    Lataitis, R.J.2    Carter, D.A.3
  • 8
    • 0026259553 scopus 로고
    • Classification of radar clutter using neural networks
    • Haykin S. Deng C. Classification of radar clutter using neural networks IEEE Trans. Neural Networks 2 6 1991 589-600
    • (1991) IEEE Trans. Neural Networks , vol.2 , Issue.6 , pp. 589-600
    • Haykin, S.1    Deng, C.2
  • 9
    • 0030887963 scopus 로고    scopus 로고
    • The study of bird migration by radar, Part 2: Major achievements
    • Bruderer B. The study of bird migration by radar, Part 2: Major achievements Naturwissenschaften 82 4 1997 45-54
    • (1997) Naturwissenschaften , vol.82 , Issue.4 , pp. 45-54
    • Bruderer, B.1
  • 13
    • 0000559391 scopus 로고
    • Objective determination of the noise level in Doppler spectra
    • Hildebrand P.H. Sekhon R.S. Objective determination of the noise level in Doppler spectra J. Appl. Meteorol. 13 1974 808-811
    • (1974) J. Appl. Meteorol. , vol.13 , pp. 808-811
    • Hildebrand, P.H.1    Sekhon, R.S.2
  • 17
    • 0141850062 scopus 로고
    • Adaptive neuro-fuzzy signal processing system using structural learning with forgetting
    • Kozma R. Sakura M. Sato S. Kitamura M. Adaptive neuro-fuzzy signal processing system using structural learning with forgetting Intell. Autom. Soft Comput. 1 4 1995 389-404
    • (1995) Intell. Autom. Soft Comput. , vol.1 , Issue.4 , pp. 389-404
    • Kozma, R.1    Sakura, M.2    Sato, S.3    Kitamura, M.4
  • 19
    • 0031142488 scopus 로고    scopus 로고
    • Quantum neural networks (QNNs): Inherently fuzzy feedforward neural networks
    • Purushothaman G. Karayiannis N.B. Quantum neural networks (QNNs): Inherently fuzzy feedforward neural networks IEEE Trans. Neural Networks 8 3 1997 679-693
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.3 , pp. 679-693
    • Purushothaman, G.1    Karayiannis, N.B.2
  • 20
    • 0031627934 scopus 로고    scopus 로고
    • Feed-forward neural architectures for membership estimation and fuzzy classification
    • Purushothaman G. Karayiannis N.B. Feed-forward neural architectures for membership estimation and fuzzy classification Int. J. Smart Eng. Syst. Des. 1 1998 163-185
    • (1998) Int. J. Smart Eng. Syst. Des. , vol.1 , pp. 163-185
    • Purushothaman, G.1    Karayiannis, N.B.2
  • 21
    • 0001231957 scopus 로고    scopus 로고
    • Recognition of handwritten numerals by quantum neural network with fuzzy features
    • Zhou J. Gan Q. Krzyzak A. Suen C.Y. Recognition of handwritten numerals by quantum neural network with fuzzy features Int. J. Doc. Anal. Recognition 2 1999 30-36
    • (1999) Int. J. Doc. Anal. Recognition , vol.2 , pp. 30-36
    • Zhou, J.1    Gan, Q.2    Krzyzak, A.3    Suen, C.Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.