A Cellular Network Architecture With Polynomial Weight Functions

作者：Mueller Jens; Mueller Jan; Braunschweig Robert; Tetzlaff Ronald

来源：IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2016, 24(1): 353-357.

DOI：10.1109/TVLSI.2015.2397449

• Cellular neural networks
• field-programmable gate arrays (FPGAs)
• image processing
• partial differential equations (PDEs)
• system-on-chip

Emulations of cellular nonlinear networks on digital reconfigurable hardware are renowned for an efficient computation of massive data, exceeding the accuracy and flexibility of full-custom designs. In this contribution, a digital implementation with polynomial coupling weight functions is proposed for the first time, establishing novel fields of application, e.g., in the medical signal processing and in the solution of partial differential equations. We present an architecture that is capable of processing large-scale networks with a high degree of parallelism, implemented on state-of-the-art field-programmable gate arrays.

• 出版日期2016-1