Model-based predictive adaptive delta modulation

نویسندگان

  • Anas Al-Korj
  • Sandor M. Veres
چکیده

This paper presents a new technique in digital communications, called modelbased-predictive adaptive-delta-modulation (MBP-ADM). MBP-ADM uses system identification tools to identify a model of the signal which is used for prediction. The prediction helps the system to respond adaptively to a varying input signal, in order to achieve improved performance. The results show a substantial improvement in the signal to noise ratio (SNR) with MBP-ADM’s compared to the ‘classical adaptive’ and ‘nonadaptive’ Delta Modulators.

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تاریخ انتشار 2007