Dataset_DeepSig_RadioML2018

This dataset is manipulated for running in MATLAB environment
For the original dataset, please access https://www.deepsig.ai/datasets 

Original paper of dataset: 
T. J. O’Shea, T. Roy and T. C. Clancy, "Over-the-Air Deep Learning Based Radio Signal Classification," in IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 1, pp. 168-179, Feb. 2018, doi: 10.1109/JSTSP.2018.2797022.

The dataset has 24 modulation classes with 26 SNR levels, from -20 dB to +30 dB, with the step size of 2 dB.
There are 4096 signals/modulation/SNR, where each signal has 1024 I/Q samples.
In the dataset, 24 folders are corresponding to 24 modulation classes, remarked from model001 to model024, with the order as follows:
model001: OOK
model002: 4ASK
model003: 8ASK
model004: BPSK
model005: QPSK
model006: 8PSK
model007: 16PSK
model008: 32PSK
model009: 16APSK
model010: 32APSK
model011: 64APSK
model012: 128APSK
model013: 16QAM
model014: 32QAM
model015: 64QAM
model016: 128QAM
model017: 256QAM
model018: AM-SSB-WC
model019: AM-SSB-SC
model020: AM-DSB-WC
model021: AM-DSB-SC
model022: FM
model023: GMSK
model024: OQPSK

The details of radio transmission channel can be found in the original dataset paper.
Link for download (4 parts)
https://o365kumoh-my.sharepoint.com/:u:/g/personal/thienht_office_kumoh_ac_kr/EdLpBySxasBGsq1I-2KudVgBGz33Y-TbvcMlfzkiTyJJmQ
https://o365kumoh-my.sharepoint.com/:u:/g/personal/thienht_office_kumoh_ac_kr/ESx-NBczMhRAh4luz08VEjABsdJmF0g96MGch0agErZouA
https://o365kumoh-my.sharepoint.com/:u:/g/personal/thienht_office_kumoh_ac_kr/Ec5ppyquxchNoGVadslmVpIBwTl7tu9H21BcBgyI-MRWrA
https://o365kumoh-my.sharepoint.com/:u:/g/personal/thienht_office_kumoh_ac_kr/EfBco7gC4fxJsJ1VzulKJygB6ymnfA02QdcSB29mShfyHA