Abstract: The efficient handling of a significant number of discrete variables in large mixed integer non-linear programming (MINLP) problems is challenging due to the combinatorial explosion. This ...
Abstract: The variable span linear filters (VSLFs) constitute a unified framework of conventional subspace and linear filtering techniques for noise reduction. The construction of VSLFs, however, ...
Abstract: The wind tunnel test balance of hypersonic vehicles is a crucial force measurement component for facilitating the aerodynamic optimization design of the aircraft. In response to the ...
Abstract: The spacecraft image matching serves as the foundation for various space vision applications, such as vision-based relative pose estimation of target spacecraft. Currently, feature-based ...
Abstract: This paper presents a digital compute-in-memory (CIM) macro for accelerating deep neural networks. The macro provides high-precision computation required for training deep neural networks ...
Abstract: Following the great success of Machine Learning (ML), especially Deep Neural Networks (DNNs), in many research domains in 2010s, several ML-based approaches were proposed for detection in ...
Abstract: The design scheme of variable structure control for discrete-time systems is considered. Due to the shortcoming of discrete exponential reaching law which can not push the system state ...