Non-uniform sampling pattern recognition based on atomic decomposition
Résumé
Non-uniform sampling is an interesting scheme that can outperforms the uniform sampling with low activity signals. With such signals, it generates fewer samples, which means less data to process and lower power consumption. In addition, it is well-known that asynchronous logic is a low power technology. This paper deals with the coupling between a non-uniform sampling scheme and a pattern recognition algorithm implemented with an event-driven logic. This non-uniform analog-to-digital conversion and the specific processing have been implemented on an Altera FPGA platform. This paper reports the first results of this low-activity pattern recognition system and its availability to recognize specific patterns with very few samples. The objectives of this work target the future ultra-low power integrated systems.