[[TOC(Other/Summer/2017*, depth=2)]]

= Spectrum Classification Application =

== Introduction ==

The goal of this project is to create an application that will run on a receiver node and processes signals. It will take the received signal as an input, analyze the components and details of the signal, and classify the signal based on the analysis. This will require machine learning techniques to perform the classification.

== Background == 

TBD but the method used in Machine Learning classification and details on the features/characteristics used in classification will be here

== Tools Used ==

Hardware and software used will go here. Planned tools are CUDA/GPU programming for ML, software defined radio, GNURadio

== Presentations == 

[https://docs.google.com/presentation/d/1m9rotuVr4hpLpY10MMBGhZTetcKyzV9BF0v6NnRmkjc/edit?usp=sharing Week One]

[https://docs.google.com/presentation/d/1nEzAFW227iqZQlQSqCR4I4HzhQwYi-DRduJD6i7ntRQ/edit?usp=sharing Week Two]

[https://docs.google.com/presentation/d/1UGR-wCjR8GUwFSox5ljbt6E6zZkFVFF-U1Cy-Sc3nkg/edit?usp=sharing Week Three]

== The Team ==

Avanish Mishra
Brendan Bruce