Cellular Neural Network

Cellular Neural Network

   <architecture> (CNN) The CNN Universal Machine is a low cost,
   low power, extremely high speed {supercomputer} on a chip.  It
   is at least 1000 times faster than equivalent {DSP} solutions
   of many complex {image processing} tasks.  It is a stored
   program supercomputer where a complex sequence of image
   processing {algorithms} is programmed and downloaded into the
   chip, just like any digital computer.  Because the entire
   computer is integrated into a chip, no signal leaves the chip
   until the image processing task is completed.

   Although the CNN universal chip is based on analogue and logic
   operating principles, it has an on-chip analog-to-digital
   input-output interface so that at the system design and
   application perspective, it can be used as a digital
   component, just like a DSP.  In particular, a development
   system is available for rapid design and prototyping.
   Moreover, a {compiler}, an {operating system}, and a
   {user-friendly} CNN {high-level language}, like the {C}
   language, have been developed which makes it easy to implement
   any image processing algorithm.

   [Professor Leon Chua, University of California at Berkeley].

   (1995-04-27)