New discrete inverse S transform with least square error in filtering

The S transform is a useful linear time-frequency distribution and has been applied to various fields. Since the inverse S transform is an over-determined problem, there exist several different algorithms, which result in different filtering effects. This paper models the discrete S transform in matrix form and proposes a new inverse S transform algorithm with least square error in filters. This paper also compares the new inverse S transform with the previous ones.