TY - GEN
T1 - The GDST Frame and Inverse Transforms
AU - Yan, Yusong
AU - Zhu, Hongmei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Generalization of the Discrete Stockwell Transform (GDST) provides a constructive framework to unify and expand various existing discrete Stockwell transforms. Under the developed framework, we are able to flexibly adjust the time/frequency sampling resolution, tailor the amount of information redundancy and computational complexity, reserve the absolutely reference phases as well. In this paper, we propose an admissible condition and prove that any GDST satisfy this condition will constitute a frame in the Hilbert Space, which guides us to derive the explicit formula for the inverse of GDST through finding its canonical dual frame.
AB - Generalization of the Discrete Stockwell Transform (GDST) provides a constructive framework to unify and expand various existing discrete Stockwell transforms. Under the developed framework, we are able to flexibly adjust the time/frequency sampling resolution, tailor the amount of information redundancy and computational complexity, reserve the absolutely reference phases as well. In this paper, we propose an admissible condition and prove that any GDST satisfy this condition will constitute a frame in the Hilbert Space, which guides us to derive the explicit formula for the inverse of GDST through finding its canonical dual frame.
KW - Discrete Stockwell Transform
KW - GDST
KW - frame
KW - invert transform
KW - time-frequency analysis
UR - http://www.scopus.com/inward/record.url?scp=85091921672&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP47821.2019.9173153
DO - 10.1109/ICSIDP47821.2019.9173153
M3 - Conference contribution
AN - SCOPUS:85091921672
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -