Mixed Malvar-wavelets for non-stationary signal representation

This paper develops algorithms for using the lapped orthogonal transforms (LOT) in the multiple bases representation (MBR) of non-stationary signals. We have previously developed speech algorithms using nonlapped mixed transforms. The major motivation for using lapped orthogonal transforms is their ability to eliminate blocking effects which show up as discontinuities in the reconstructed signal at the block boundaries. In addition, LOT based transforms improve the transform coding gain considerably. We test and compare the performance of the LOT in MBR algorithms that use a previously developed cascade structure to our newly developed parallel structure. We also discuss different dominant component (DC) picking strategies and introduce some new methods. Results and subjective evaluations are provided for real speech signals