Abstract
Conference Title: 2015 IEEE International Circuits and Systems Symposium (ICSyS) Conference Start Date: 2015, Sept. 2 Conference End Date: 2015, Sept. 4 Conference Location: Langkawi, Malaysia This work describes how feed-forward Artificial Neural Networks (ANNs) can perform Analog-to-Digital (A/D) conversion with a linear and non-linear relationship between the analog input and the digital output in order to eliminate the linearization stage without modifying the analog-to-digital converter's elements and architecture. Adding to that, the speed of this A/D converter will not be reduced due to the unchanged conversion algorithm. Simulation for two types of non-linear input has been performed. The results are discussed and a future work is presented.