| 摘要 |
A bandwidth compression and expansion system is provided in which analog data is processed in real time using a sub-sampling technique in which pixels or other data values within a sub-sampling region determine the value of a corresponding signal which also denotes trends or patterns in accordance with the other pixels or signal values within a sampling region encompassing the sub-sampling region. Neural networks are used to implement the sub-sampling process both during bandwidth compression and during bandwidth expansion in which interpolation and extrapolation are employed to reverse the sub-sampling process used during compression. The neural network forms part of an arrangement in which analog input signals are converted to digital signals that are then stored in a random access memory which operates in conjunction with an address generator for identifying a succession of sampling and sub-sampling regions within the memory. The output of the memory is converted to an analog signal before being held in a sample and hold memory for use in the neural network.
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