Computing running discrete Hartley transform and running discrete W transforms based on the adaptive LMS algorithm

The computation of block-based discrete orthogonal transforms using the adaptive least-mean-square (LMS) algorithm has been studied in literature. The authors extend this work by establishing the relationship between the running discrete Hartley transform (DHT), the discrete W transforms (DWT's), and the LMS algorithm. As a result a new parallel approach for computing the running DHT and DWT's is proposed.