Recursive implementation of gaussian filters with switching and reset hardware

This paper suggests the use of linear programming and curve fitting to approximate Gaussian filters with a combination of recursive linear-phase exponential filters. The switching and reset method is used to create a stable implementation of an otherwise unstable pole-zero cancelation in the exponential filters. The results show that an accurate approximation of a Gaussian filter, of any order, can be recursively implemented using only 18 constant coefficient multipliers and 26 adders.