Novel Circuit Implementation Method for Pulse Signal Finite Rate of Innovation Sparse Sampling Based on an Improved Exponential Reproducing Kernel
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01076-3
Abstract: Finite rate of innovation sampling is a new signal sparse sampling method based on signal information freedom, which can considerably reduce the amount of sampling data. However, the researches on hardware circuit direct implementation of… read more here.
Keywords: implementation method; rate; sparse sampling; circuit ... See more keywords
An Implementation Method Using Cut-Off Bits for Restricted Boltzmann Machines Without Random Number Generators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3168026
Abstract: This study proposes an implementation method of a hardware-oriented restricted Boltzmann machine (RBM) without random number generators (RNGs) that employ cut-off bits, which are obtained from fixed-point binary arithmetic operations on digital hardware, such as… read more here.
Keywords: hardware; cut bits; restricted boltzmann; method ... See more keywords
Load-Balanced Fortran-Based Out-of-GPU Memory Implementation of the Method of Moments
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2016.2605042
Abstract: In this letter, an efficient Fortran-based out-of-graphics processing unit (GPU) memory implementation of the method of moments (MoM) on heterogeneous low-cost single CPU/GPU computing platform is presented. The MoM solution process is based on the… read more here.
Keywords: gpu memory; implementation; fortran based; memory implementation ... See more keywords