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Research Opportunities in Electronics (1987) / Chapter Skim
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'SYSTEMS, COMMUNICATION, AND SIGNAL PROCESSING'
Pages 11-16

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 11...
... There are many fundamental issues concerning the design of algorithms for signal processing, sensor processing, pattern recognition, control, and other functions when those algorithms must operate in a distributed environment. In some examples, such as neural networks and parallel processing, one uses distributed signal processing elements to enhance the computational power and speed of the system, whereas in other examples, such as network control and distributed sensor systems, the geographical separation of the nodes forces the system to be distributed.
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From page 12...
... New computing structures are clearly necessary. One possibility is the use of general purpose parallel computing machines such as the hypercube, the connection machine, the BBN butterfly processor, the SAXPY-lM, and the GE WARP systolic processors.
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From page 13...
... DISTRIBUTED ALGORITHMS FOR NETWORK CONTROL Communication networks, whether for data, voice, or both, inherently require distributed control. The required distributed control algorithms range from link access protocols to routing and flow control algorithms to transport and higher layer protocols.
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From page 14...
... At present, these models are significantly lacking in their ability to model the human brain, but a breakthrough in this area would constitute a major scientific discovery comparable to or even greater in magnitude than the discoveries that led to the development of the digital computer. The development of neural network models combined with the ability to implement massively parallel systems in VLSI technology could lead to new forms of computation in which pattern recognition and feature extraction with imperfect information become more nearly feasible computationally and more reliable.
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From page 15...
... Similarly, a VLSI.circuit may never be identical to the human brain, but this research could lead to a better understanding of the functional processes of the brain, and thus to a realization of some of these functions in electronic systems.
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Key Terms

  • special purpose
  • network control
  • survivable networks
  • neural networks
  • distributed control

  • solid state
  • vlsi circuit
  • naval ocean
  • systolic arrays
  • control algorithms

  • electronics division
  • communication networks
  • human brain
  • pattern recognition
  • circuit technology

  • distributed sensor
  • distributed signal
  • biological neural
  • tal signal
  • neural network

  • ponding signal
  • particular approaches
  • algorithms range
  • studies motivated
  • core program

  • parallel computing
  • advances currently
  • significantly lacking
  • required distributed
  • bbn butterfly


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