New discrete inverse S transform with least square error in filtering

@article{Pei2009NewDI,
  title={New discrete inverse S transform with least square error in filtering},
  author={Soo-Chang Pei and Pai-Wei Wang},
  journal={2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2009},
  pages={2989-2992}
}
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. 

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