Article ID Journal Published Year Pages File Type
4946995 Neurocomputing 2017 18 Pages PDF
Abstract
This paper focuses on presenting a new memristor model with a general window function. Three adjustable parameters are introduced such that it is more flexible. It is seen that several well-known window functions are the special cases of the general window function. Some issues (e.g., the boundary lock and limited scalability) encountered in previously reported memristor models are thus efficiently resolved. Furthermore, fine-resolution programmable resistance is achieved by controlling the parameters of the general memristor model. The programmable analog filter and gain amplifier are finally implemented to illustrate the applications of the developed memristor model.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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