Guangshi Yu

A fast parallel matrix inversion algorithm based on heterogeneous multicore architectures

Denggao Yu, Shiwen He, Yongming Huang, Guangshi Yu et autres

Large matrix inversion is usually a basic step in a wide range of signal processing or numerical problems, such as digital filtering, equalization detection, and etc. It is essential to figure out an algorithm to invert large matrix quickly and accurately. On …

bd, cn (code pays fourni par la source)

An efficient low PAPR training sequence design scheme under spectral constraints in mm-Wave OFDM communication

Guangshi Yu, Shiwen He, Denggao Yu, Lüxi Yang et autres

This work investigates the design scheme of orthogonal frequency division multiplexing (OFDM) training sequences with low peak to average power ratio (PAPR) under spectral constraints. Sequences with low PAPR can be used for synchronization and channel estimation in communication systems. In practical …

cn (code pays fourni par la source)

GPU-accelerated 3D neutron diffusion code based on finite difference method

Qing-Xin Xu, Guangshi Yu, Kan Wang

Finite difference method, as a traditional numerical solution to neutron diffusion equation, although considered simpler and more precise than the coarse mesh nodal methods, has a bottle neck to be widely applied caused by the huge memory and unendurable computation time it …