Talcott Parsons science. Parsons also became strongly interested in systems theory and cybernetics and began to adopt their basic ideas and concepts to the realm of social science, especially the work of Norbert Wiener (1894–1964) had his attention. Some of the students who arrived at the Department of Social Relations in the years after the Second World War were David Aberle, Gardner Lindzey, Harold Garfinkel, David G. Hays, Benton Johnson, Marian Johnson, Kaspar Naegele, James Olds, Albert Cohen, Norman Birnbaum, Robin Murphy Williams, Jackson Toby, Robert N. Bellah, Joseph Kahl, Joseph Berger, Morris Zelditch, Renee Fox, Tom O'Dea, Ezra Vogel, Clifford Geertz,
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