A Fully Programmable Novel Cmos Gaussian Function Generator Based On Square-Root Circuit

A new method to design a CMOS analogue circuit with Gaussian Function output signal is presented for neuro-fuzzy applications, while it is not working in sub-threshold region. Since the relationship of the drain current of the transistor is not exponentially, we have approximated the Gaussian function (GF) with some implemental functions. Having confirmed that the mathematics we discussed is matched with the results, simulation results have shown better performance in most parameters in comparison with the previous works. Designed circuits were simulated using HSPICE by level 49 parameters in 0.35?m standard CMOS technology.