Kazim Ergun

Towards a Robust and Efficient Classifier for Real World Radio Signal Modulation Classification

Automatic modulation classification for radio signals is an important task in many applications, including cognitive radio, radio spectrum monitoring and signal decoding in non-cooperative communications. Recent studies in this area apply various deep learning methods to achieve accurate classificat…