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Scaling MCMC Inference and Belief Propagation to Large, Dense Graphical Models
machine learning graphical models
2014/12/18
With the physical constraints of semiconductor-based electronics becoming increasingly limiting in the past decade, single-core CPUs have given way to multi-core and distributed computing platforms. A...
针对Chirp Scaling算法相位因子表达式复杂、计算量过大的问题,提出一种适合于实时成像的相位补偿因子软硬件协同设计方法。该方法结合软件的灵活性和硬件逻辑处理的快捷性,能够快速实现相位因子的生成与补偿。理论分析与测试结果表明了该方法的高效性。