Skip to content

This project classifies the radio signals recorded from Outer Space. The Convolution Neural Network(CNN) model is developed using keras library, and Tensorflow as back-end.

Notifications You must be signed in to change notification settings

Tekraj15/Classify-Radio-Signals-from-outer-space-Keras

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 

Repository files navigation

Classify-Radio-Communicational-Signals-from-Space-using-Keras

Motivation Behind this project:

This project classifies the radio signals recorded from Outer Space. The Convolution Neural Network(CNN) model is developed using keras library, and Tensorflow as back-end. #Today's military operations depend on extensive use of wireless communication technologies. #An important element in many WIRELESS COMMUNICATION activities is distinguishing between different radio signals.

In this project Dataset istaken dataset from https://seti.org/ (Search for Extraterrestrial Intelligence (SETI))

Here we have taken 4 class labels for Radio signals that are Squiggle, Narrowband, Noise, Narrowbanded

About

This project classifies the radio signals recorded from Outer Space. The Convolution Neural Network(CNN) model is developed using keras library, and Tensorflow as back-end.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published