A method for designing fast multidimensional filters using genetic algorithms is described. The filter is decomposed into component filters where coefficients can be sparsely sc...
This paper presents a new tool for the automatic generation of highly parallelized Finite Impulse Response (FIR) filters. In this approach we follow our PARO design methodology. P...
Holger Ruckdeschel, Hritam Dutta, Frank Hannig, J&...
Maximum Likelihood estimation theory can be used to develop optimal timing recovery schemes for digital communication systems. Tunable digital interpolation filters are commonly ...
We apply the auxiliary particle filter algorithm of Pitt and Shephard (1999) to the problem of robot localization. To deal with the high-dimensional sensor observations (images) ...
We develop a novel measure of joint time-frequency localization applicable to equivalence classes of finite-length discrete signals, which are of increasing importance in modern ...
Peter C. Tay, Joseph P. Havlicek, Victor E. DeBrun...