Publisher review: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.
Impact of quantization on performance is a Matlab script for Communication Tools scripts design by B Gremont.
It runs on following operating system: Windows / Linux / Mac OS / Solaris.
Operating system:Windows / Linux / Mac OS / Solaris
Impact of quantization on performance script details 
