This paper presents a new Recurrent Dynamic Neural Network (RDNN) approach and its implementation in order to solve noisy signal representation, processing, and compression. Essentially, the neural net solves, in a sy...
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This paper presents a new Recurrent Dynamic Neural Network (RDNN) approach and its implementation in order to solve noisy signal representation, processing, and compression. Essentially, the neural net solves, in a systematic recurrent way, simultaneous sets of uncertain and even noise corrupted linear or nonlinear equations, by seeking a corresponding minimum energy state. The VLSIC hardware design and implementation are built around asymmetric Cellular Neural Network (CNN) architecture. Digital semi-custom circuit design is used to implement each CNN building block, using CMOS 2-/spl mu/m n-well technology, and employing available standard cell library. The overall dimensions of the implemented CNN is 3.1/spl times/2.5 mm/sup 2/. Time domain simulation using IRSIM, gave an expected throughput rate of 33 M operations per second. The perceived advantages over traditional approaches are: robustness of computation, ability to confront dynamic (time-varying), as well as noisy signals, flexibility in implementation, and quick turn-around design time.
Two upper-level VLSI courses were taught with the same philosophy: all aspects of the design and fabrication process must be considered, and success evaluated with finished prototypes. The ultimate path to a silicon c...
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Two upper-level VLSI courses were taught with the same philosophy: all aspects of the design and fabrication process must be considered, and success evaluated with finished prototypes. The ultimate path to a silicon chip is important, even if not readily achievable in a single semester VLSI course project. Both course instructors had significant industrial research experience, which generated a "seeing is believing" attitude towards course projects. A mixture of industrial and academic concerns were addressed in VLSI design. Electronic design automation tools are essential for integrated circuit (IC) prototypes, and are compared at each university. Individual student projects from the fall term, 1992, were presented at General Motors Research, in a minisymposium which also included a tour and discussion about the operation of the clean room available at GM Research.< >
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