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Intraoperative thermographic imaging, associated with time-resolved data analysis, is used to identify and visualise functional areas and pathological tissue in brain surgery. In this contribution we propose a hardware-software system for real-time pre-processing, fusion, and analysis of concurrent infrared and whitelight recordings. As a proof-of-concept, a digital temporal filter is applied to the...
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...
A novel massively-parallel fine-grain architecture featuring a digital emulation of Cellular Nonlinear Networks (CNN) is presented. A virtual cellular network is processed line-by-line by a locally connected linear array of processing elements. The resulting computing system is able to execute complex CNN program code consisting of consecutive operations. Furthermore we present a scalable FPGA implementation...
Complex dynamical systems establish offer entirely new possibilities to the development of groundbreaking data processing methods. In the domains of image and video processing, locally coupled cellular array computers, based on Cellular Nonlinear Networks (CNN), accelerate the computation of large amounts of data in real-time, due to their inherent concept of massive parallelism. Current VLSI implementations...
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