A floating-gate transistor based continuous-time analog adaptive filter

This paper describes a floating-gate transistor based analog implementation of adaptive filters that adapt based on the least-mean-square (LMS) learning algorithm. Floating-gate transistors are used for both weight adaptation and non-volatile weight storage. A current-mode approach results in a compact, low-power synapse. Experimental results from a prototype chip with a matrix of 16times4 synapses along with supporting circuitry fabricated in a 0.35 mum CMOS process are provided to demonstrate adaptation.