Implementation of Neural Nets for Communications Channel Decoding using Log Likelihood Ratios
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Updated
Nov 19, 2020 - Jupyter Notebook
Implementation of Neural Nets for Communications Channel Decoding using Log Likelihood Ratios
Investigating the performance of an OFDM-based communication system with QPSK and QAM modulation and effects of AWGN and multi-path channels.
ASK, QAM, PSK, FSK, MSK simulations and analysis.
Digital communication system using QAM modulation on Octave (without using package functions)
A 16QAM modulator built with a couple transistors, a 74HC86 XOR IC and an Arduino UNO
Files for the lab of Digital Communications at the University of Seville.
Academic project done to perform telecommunication prototypes
An example based bare bones approach to learning Software Defined Radio
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