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  • License: Freeware
  • Last update: 6 years ago
  • Total downloads: 167
  • Price: Free |
  • Operating system: Linux, Mac OS X, Win All, BSD, Solaris
  • Publisher: B Gremont (3 other programs)
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scripts default iconImpact of quantization on performance Publisher's description

Impact of quantization on performance of convolutional codes plots the expected BER curve of soft decision quantized Viterbi decoders

Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK.

Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.

The computation uses a quasi-analytic (QA) technique that relies on the estimation (approximate one) of the information-bits Weight Enumerating Function (WEF) using a simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.

System Requirements:

Program Release Status: Major Update
Program Install Support: Install Only

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