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This is my Master's Degree Thesis repository. It's about Signal Modulation Classification (or Automatic Modulation Recognition) using Deep Learning.

Jupyter Notebook 99.96% Batchfile 0.01% Python 0.04%
artificial-intelligence modulation-classification master-thesis automatic-modulation-recognition deep-learning

master-thesis's Introduction

Hi there ๐Ÿ‘‹

๐Ÿ‘‹ Name: Marte Valerio

๐ŸŽ“ First level degree: dec 2018

๐ŸŽ“ Second level degree: mar 2022

๐Ÿ“– Profession: Software Developer

๐Ÿ“ Where: Atlas Reply

Professional competences

software engineering software automation full stack developement database design microcontrollers

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master-thesis's Issues

Classification time performances

How long will it take the system to detect an unknown signal when it suddenly appears? Will it shorten the detection time if it reappears?

How CNN_v2 differs from CNN?

Hello, I am very interested in your work and would like to ask you a question, compared to the original CNN2, why is your CNN2_v2 designed that way?

convolution kernel size

Excuse me, why does (conv(16,4),conv(32,2)) perform better than (conv(256,(1,3)),conv(80,(2,3)))? In this field , I have not seen the convolution kernel size is even. Does it make sense?

Operation steps

Can you tell me how to run the program to get the result graph in the paper?

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