Title : 
A nonlinear CMOS analog cell for VLSI signal and information processing
         
        
            Author : 
Khachab, Nabil I. ; Ismail, Mohammed
         
        
            Author_Institution : 
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
         
        
        
        
        
            fDate : 
11/1/1991 12:00:00 AM
         
        
        
        
            Abstract : 
A simple reconfigurable continuous-time nonlinear CMOS building block for analog VLSI applications is presented. The new block is introduced as a basic analog cell for the implementation of analog VLSI systems. It simultaneously achieves four-quadrant multiplication and division. Its applications in both analog signal and information processing are discussed. These include multiplication, signal squaring, division, signal inversion, amplitude modulation, RMS-DC conversion, and neural computing. Using the new cell, a MOS VLSI implementation of a feedback/feedforward neural network is developed which achieves the scalar product of two n-tuple vectors by 4(n+1) MOS transistors and one operational amplifier. To verify the versatility of the new cell and its applications, experimental results obtained from a test chip that was fabricated using the MOSIS 2-μm CMOS process are included
         
        
            Keywords : 
CMOS integrated circuits; VLSI; analogue computer circuits; dividing circuits; multiplying circuits; neural nets; operational amplifiers; 2 micron; 2-μm CMOS process; MOS VLSI implementation; MOS transistors; MOSIS; RMS-DC conversion; amplitude modulation; analog VLSI applications; continuous-time nonlinear CMOS building block; experimental results; feedback/feedforward neural network; four quadrant division; four-quadrant multiplication; information processing; n-tuple vectors; neural computing; nonlinear CMOS analog cell; operational amplifier; scalar product; signal division; signal inversion; signal multiplication; signal squaring; Amplitude modulation; Feedforward neural networks; Information processing; MOSFETs; Neural networks; Neurofeedback; Operational amplifiers; Signal processing; Testing; Very large scale integration;
         
        
        
            Journal_Title : 
Solid-State Circuits, IEEE Journal of