A combined natural orthogonal functions/neural network technique for the radiometric estimation of atmospheric profiles
Performance analysis of a multifrequency radiometer for predicting atmospheric propagation parameters
A Ground-Based Multi-Frequency Millimetre-Wave Radiometer for Propagation Studies
Nonlinear Principal Component Analysis for the Radiometric Inversion of Atmospheric Profiles by Using Neural Networks
Neural networks for the retrieval of water vapor and liquid water from radiometric data
Case study of intense scintillation events on the OTS path
G. Schiavon, F. Del Frate, M.F. Iapaolo, D. Solimini “Neural network inversion algorithms for satellite temperatures and humidity profiling”, Specialist Meeting on Microwave Remote Sensing. Roma, Italy, February 2004, Atti della Fondazione Giorgio Ronchi, vol. 60, pp. 97-98, 2005.
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P. Basili, P. Ciotti, and D. Solimini, "Inversion of ground-based radiometric data by Kalman filtering", Radio Sci., vol. 16, pp. 83-91, 1981.
P. Basili, P. Ciotti, and D. Solimini, "Spectra of atmospheric variables as deduced from ground-based radiometry", IEEE Trans. Geosci. Electron., vol. GE-17, pp. 68-77, 1979.
P. Basili, D. Solimini, "Inference of static and dynamic vertical structure of the lower troposphere from ground-based infrared radiometry", Radio Sci., vol. 13, pp. 303-311, 1978.

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