Sampling theorems and error estimates for random signals in the linear canonical transform domain. - Haiye Huo; Wenchang Sun (Signal Process., 2015)

New Conditions on Achieving the Maximal Possible Dynamic Range for a Generalized Chinese Remainder Theorem of Multiple Integers. - Li Xiao 002; Xiang-Gen Xia 001; Haiye Huo (IEEE Signal Process. Lett., 2015)

Towards Robustness in Residue Number Systems. - Li Xiao 002; Xiang-Gen Xia 001; Haiye Huo (IEEE Trans. Signal Process., 2017)

New Conditions on Stable Recovery of Weighted Sparse Signals via Weighted (l1) Minimization. - Haiye Huo; Wenchang Sun; Li Xiao 002 (Circuits Syst. Signal Process., 2018)

Speech Recognition Based on Genetic Algorithm Optimized Support Vector Machine. - Yonghui Wang; Haiye Huo (ICSAI, 2019)

Uncertainty Principles for the Offset Linear Canonical Transform. - Haiye Huo (Circuits Syst. Signal Process., 2019)

A new convolution theorem associated with the linear canonical transform. - Haiye Huo (Signal Image Video Process., 2019)

Nonuniform sampling for random signals bandlimited in the linear canonical transform domain. - Haiye Huo; Wenchang Sun (Multidimens. Syst. Signal Process., 2020)

Stable Recovery of Weighted Sparse Signals from Phaseless Measurements via Weighted l1 Minimization. - Haiye Huo (CoRR, 2021)

Robust Multidimentional Chinese Remainder Theorem for Integer Vector Reconstruction. - Li Xiao 002; Haiye Huo; Xiang-Gen Xia 001 (IEEE Trans. Signal Process., 2024)

Recovery Conditions in Weighted Sparse Phase Retrieval via Weighted $ ell _q , (0<q le 1)$ Minimization. - Haiye Huo; Li Xiao 002 (Circuits Syst. Signal Process., 2024)

Uniqueness of phase retrieval from offset linear canonical transform. - Jing Liu; Haiye Huo (CoRR, 2025)

Stable recovery of complex dictionary-sparse signals from phaseless measurements. - Lianxing Xia; Haiye Huo (CoRR, 2025)

Sparse Phase Retrieval with Redundant Dictionary via ℓq (0<q <= 1)-Analysis Model. - Haiye Huo; Li Xiao (CoRR, 2025)