Hong-Cai Xin

ORCID: 0009-0001-0304-0978
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About
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Research Areas
  • Advanced SAR Imaging Techniques
  • Image and Signal Denoising Methods
  • Sparse and Compressive Sensing Techniques
  • Optical Systems and Laser Technology
  • Blind Source Separation Techniques
  • Radar Systems and Signal Processing
  • Machine Fault Diagnosis Techniques
  • Cryptographic Implementations and Security
  • Quantum-Dot Cellular Automata
  • Mathematical Analysis and Transform Methods
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Quantum Computing Algorithms and Architecture
  • Digital Filter Design and Implementation
  • Ultrasonics and Acoustic Wave Propagation
  • Infrared Target Detection Methodologies

Beijing Electronic Science and Technology Institute
2024

Beijing Institute of Technology
2018-2021

Abstract Linear canonical transform as a general integration has been considered into Wigner-Ville distribution (WVD) to show more powerful ability for non-stationary signal processing. In this paper, new WVD associated with linear (WVDL) and form of WVDL (IWVDL) are presented. First, the definition is derived based on autocorrelation function some properties investigated in details. It removes coupling between time delay lays foundation analysis Then, characteristics over time-frequency...

10.1186/s13634-021-00753-3 article EN cc-by EURASIP Journal on Advances in Signal Processing 2021-08-03

Because of the substantial progress in quantum computing technology, safety traditional cryptologic schemes is facing serious challenges. In this study, we explore lightweight cipher MIBS and propose key-recovery attacks on by utilizing Grover’s algorithm Bernstein–Vazirani algorithm. We first construct linear-structure functions based 5-round according to characteristics linear transformations, then obtain a distinguisher applying constructed functions. Finally, algorithm, realize 7-round...

10.3390/math12172678 article EN cc-by Mathematics 2024-08-28

The time-delay estimation (TDE) arises in many applications, especially radar signal processing. In this study, different TDE techniques are considered based on well-known approaches such as classical matched filter, multiple classification, standard least squares (LS), regularisation LS, and compressive sensing for the signal. order to understand particular behaviour of each technique, comparisons by theoretical analysis numerical simulations made. Then some brief conclusions can be...

10.1049/joe.2019.0151 article EN cc-by The Journal of Engineering 2019-08-28
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