Sub-Nyquist Sampling and Reconstruction Model of LFM Signals Based on Blind Compressed Sensing in FRFT Domain. - Biao Fang; Gaoming Huang; Jun Gao 005 (Circuits Syst. Signal Process., 2015)

Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA. - Biao Fang; Yuhao Zhang 007; Rui Yan 005; Huajin Tang (ICACI, 2020)

An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification. - Xiping Ju; Biao Fang; Rui Yan 005; Xiaoliang Xu; Huajin Tang (Neural Comput., 2020)

Nonconvex regularization for convex image smoothing. - Guoliang Zhu; Xiao-Guang Lv; Le Jiang; Xueman Sun; Biao Fang (Signal Process., 2023)

Fast additive half-quadratic iterative minimization for l p - l q image smoothing. - Xueman Sun; Xiao-Guang Lv; Guoliang Zhu; Biao Fang; Le Jiang (IET Image Process., 2023)

Contrast-preserving image smoothing via the truncated first-order rational function. - Jiaqi Mei; Xiao-Guang Lv; Biao Fang; Le Jiang (Signal Process., 2025)

Edge-preserving smoothing using the truncated ℓp minimization. - Biao Fang; Xiao-Yang Lv; Guoliang Zhu; Jiaqi Mei; Le Jiang (Signal Process. Image Commun., 2025)