Non-Linear Addressing Scheme for a Lookup-Based Transformation Function in a Reconfigurable Noise Generator

Noise generation is used in several application domains, and each one of them has its own requirements for the statistical properties of the noise signal. This paper presents an approach that allows flexible noise generation based on reconfigurable logic. Such approach uses transfonnation functions implemented as look-up tables in order to allow the transformation of uniformly distributed noise into noise signals having other probability density functions. A special case study is presented, where a non-linear lookup addressing scheme is proposed to minimize the error in the case of a transformation function with poles, as it is the case of the transfonnation from uniform to normal distribution.