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,
Wiener–Khinchin theorem errors can show up as a divergence when the sequence length is modified. Some authors refer to formula_23 as the autocovariance function. They then proceed to normalise it, by dividing by formula_24, to obtain what they refer to as the autocorrelation function. Wiener–Khinchin theorem In applied mathematics, the Wiener–Khinchin theorem, also known as the Wiener–Khintchine theorem and sometimes as the Wiener–Khinchin–Einstein theorem or the Khinchin–Kolmogorov theorem, states that the autocorrelation function of a wide-sense-stationary random process has a spectral decomposition given by the power spectrum of that process. Norbert Wiener proved this theorem for the case of a deterministic function