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One of the challenging issues in Spread-Spectrum Modulation (SSM) is the design of the Pseudo - Random or Pseudo - Noise (PN) sequence generator. Though several approaches are available that deals with the PN - sequence generator, there always exists the possibility of exploring the use of innovative methods through which shortcomings of the known techniques can be minimized and the performance of communication systems using SSM improved. This paper is related to the use of Artificial Neural Network (ANN) for generation of the PN sequence during transmission and reception of a SSM based system.
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