A new approach for designing a cellular nonlinear network (CNN) cell is introduced. 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 applied when building up the analog part of the cell. The cell output nonlinearity 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 building blocks are simple, and also because these blocks introduce an almost error free multiplication by zero, the corresponding devices can be made relatively small due to relaxed coefficient accuracy requirements. This approach yields a very small cell area on silicon and can be used with inexpensive digital CMOS processes. Simulation results are given for both static and dynamic behavior of the proposed structure. The dynamic simulation shows very fast convergence time compared to other reported approaches for CNN very large scale integration implementation.
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