A new cell output nonlinearity for dense cellular nonlinear network integration

A new approach for designing a cellular nonlinear network (CNN) cell is int roduced. The method can be used when the processed images are bipolar, i,e. , black and white. A simple circuit realization is introduced that can be a pplied when building up the analog part of the cell. The cell output nonlin earity is an easily realizable positive range high gain sigmoid, Moreover, a state limited model is adopted to decrease the complexity of the design. The coefficient budding blocks are simple, and also because these blocks in troduce an almost error free multiplication by zero, the corresponding devi ces can be made relatively small due to relaxed coefficient accuracy requir ements. This approach yields a very small cell area on silicon and can be u sed,vith inexpensive digital CMOS processes. Simulation results are given f or both static and dynamic behavior of the proposed structure. The dynamic simulation shows very fast convergence time compared to other reported appr oaches for CNN very large scale integration implementation.