Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi-dimensional Signals

In 10] a theoretical framework for locally-adaptive smoothing of multi-dimensional data was presented. Based on this framework we introduce a hardware ef-cient architecture suitable for mixed-mode VLSI implementation. Substantial shortcomings of analogue implementations are overcome by connecting all cells in a circular structure: i) innuence of process parameter deviation ii) limited number of cells iii) input/output bottleneck. The connections between the analogue cells and the cells themselves are dynamically reconngured. This results in a non-linear adaptive lter kernel which is shifted virtually over the signal vector of innnite length. A 1-d prototype with 32 cells has been fabricated using 0.8m CMOS-technology. The chip is fully functional with an overall error less than 1%; experimental results are presented in this paper.