Memristors have many uses in machine learning and neuromorphic hardware. From
memory elements in dot product engines to replicating both synapse and neuron wall …

This paper presents a neuromorphic system for mean variance based pattern training and
recognition. The system contains a self-learning circuit, a training circuit and a recognition …

A recent surge of research on deep convolutional neural network (DCNN) has given a
challenge on existing computation architecture which has the flows in speed and memory …

This chapter gives a basic idea of fuzzy calculus meant for the uninitiated researcher. The
principal definitions of fuzzy order logic along with practical realizations are discussed …

A new method for effective realization of discrete-time type I and type II FIR filters on the
memristor crossbar structure is developed in this paper. For this purpose, first the analog …

This paper presents a mixed-signal implementation of complex-valued FIR filter bank using
a memristor-based approximate multiplier. First, a memristor-based vector–matrix multiplier …

The parallel structure of matrix multipliers makes them fascinating candidates to benefit from
memristors' high density architecture. This paper first explains a memristor-based analog …

The current transient phenomenon is a current-time response observed in metal-insulator-
metal devices, such as defective capacitors or resistance switching devices. It is a response …

Edge detection is a classic problem in the field of image processing, which lays foundations
for other tasks such as image segmentation. Conventionally, this operation is performed …

A new method to realize a discrete memristor is proposed. The device under study consists
of a tube filled of aqueous saturated solution of copper sulfate which can be electrolyzed by …