Modulation recognition dataset

This is a dataset based on Matlab data processing, sourced from the publicly available dataset RML2016.10A, has emerged as a widely adopted benchmark dataset in numerous research studies. Among these datasets, the RML2016.10A dataset stands out, comprising a total of 220,000 signal samples. This dataset encompasses 11 distinct modulation types, namely 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAW4, QAM16, QAM64, QPSK, and WBFM. Each modulation type is further characterized by 20 different SNR levels, spanning from -20 dB to 18 dB with a 2 dB increment.