Description: An important goal for a new communication system is to transfer information at a high rate while
keeping energy consumption low. Shannon s channel capacity sets a limit on the tradeoff between the rate
of information transfer and the required energy. In this paper the performance of turbo block coding is
compared to Shannon s limit for binary communications over a channel with thermal noise. The turbo
product code is a relatively new code that offers a wide range of flexibility in terms of performance,
complexity, and code rate. The results of this paper will show that in comparison to a standard
convolutional code the turbo product code uses less power and permits a higher data rate for a given
bandwidth requirement. One of the turbo product codes discussed in this paper has a rate approximately
0.8, which is a 60 improvement in data rate over the standard convolutional code. It is also shown that
the performance of the turbo product code is close to Shannon s capacity limit
- [turbo-code] - I will not nonsense, it is a complete co
- [STBC_sim] - This is a wireless communications space-
- [viterbidecoder] - for achieving a (2,1,7) Convolutional Co
- [chase] - Catch-up method is used to solution of t
- [TPC-decode] - MATLAB-based implementation environment
- [tpc] - this is usefull code for telecom student
- [Channel_Codes] - This book includes BCH codes, Reed–Solom
- [tpc] - turbo product code used in error correct
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TPC.pdf
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