Fei-Yue Wang the IEEE in 2004 "for contributions to intelligent control systems and applications to complex systems". He also became a fellow of the American Association for the Advancement of Science and the ASME in 2007. In 2011 he won the Outstanding Research Award of the IEEE Intelligent Transportation Systems Society, and in 2014 he was given the Norbert Wiener Award of the IEEE Systems, Man, and Cybernetics Society "for fundamental contributions to and innovations in the theory and application of intelligent control and management to complex systems." Fei-Yue Wang Fei-Yue Wang (; born November 1961) is a Specially Appointed State Expert,
Generalized Wiener filter Generalized Wiener filter The Wiener filter as originally proposed by Norbert Wiener is a signal processing filter which uses knowledge of the statistical properties of both the signal and the noise to reconstruct an optimal estimate of the signal from a noisy one-dimensional time-ordered data stream. The generalized Wiener filter generalizes the same idea beyond the domain of one-dimensional time-ordered signal processing, with two-dimensional image processing being the most common application. Consider a data vector formula_1 which is the sum of independent signal and noise vectors formula_2 with zero mean and covariances formula_3 and formula_4. The generalized Wiener Filter is