/Modulation_Classification

Classify signals using CNN and ANN: and illustarte how SNR helps in signal classification.

Primary LanguageJupyter Notebook

Problem Statement

DeepSig Dataset: RadioML 2016.04C

A synthetic dataset, generated with GNU Radio, consisting of 11 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios.

Objective

Classify signals using CNN and ANN: and illustarte how SNR helps in signal classification.

Note

This project is done for Pattern Recognition class (Spring 2019) with @NevineSaid (https://github.com/NevineSaid)