wiki:Other/Summer/2017/SpectrumClassification

Version 6 (modified by bbruce, 7 years ago) ( diff )

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Table of Contents

  1. 2017 WINLAB Summer Internship
    1. Projects
  2. Drone Communication Analysis
    1. Introduction
    2. Background
    3. Tools Used
    4. Presentations
    5. Team Members
    1. Design of a pseudo-language for FPGA programming
  4. Mobility First : Multihoming Extension
    1. Introduction
    2. Mission
    3. Implementation
    4. Results
    5. Presentations
    6. People
  5. External References
    1. Quit Smoking Application
  7. Spectrum Classification Application
    1. Introduction
    2. Background
    3. Tools Used
    4. Presentations
    5. The Team

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

​Week One

​Week Two

The Team

Avanish Mishra Brendan Bruce

Attachments (3)

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