A four-quadrant CMOS analog multiplier for analog neural networks

A four-quadrant CMOS analog multiplier is presented. The multiplier uses the square-law characteristic of an MOS transistor in saturation. Its major advantage over other four-quadrant multipliers is its combination of small area and low power consumption. In addition, unlike almost all other designs of four-quadrant multipliers, this design has single ended inputs so that the inputs do not need to be pre-processed before being fed to the multiplier, thus saving additional area. These properties make the multiplier very suitable for use in the implementation of artificial neural networks. The design was fabricated through MOSIS using the standard 2 μm CMOS process. Experimental results obtained from it are presented