Datasets:
Tasks:
Feature Extraction
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ language:
|
|
| 9 |
|
| 10 |
<!-- Provide a quick summary of the dataset. -->
|
| 11 |
|
| 12 |
-
RadioModRec-1 is an Automatic Modulation Recognition (AMR) dataset carefully curated for fifteen digital modulation schemes consisting of 4QAM, 16QAM, 64QAM, 256QAM, 8PSK, 16PSK, 32PSK, 64PSK, 128PSK, 256PSK, CPFSK, DBPSK, DQPSK, GFSK, and GMSK whose usefulness is predominantly found in modern wireless communication systems. RadioModRec-1 dataset caters for the Rayleigh and the Rician channel models under the Additive White Gaussian Noise (AWGN) from -20dB to +20dB at a step of +5dB.
|
| 13 |
|
| 14 |
### Dataset Description
|
| 15 |
|
|
|
|
| 9 |
|
| 10 |
<!-- Provide a quick summary of the dataset. -->
|
| 11 |
|
| 12 |
+
RadioModRec-1 is an Automatic Modulation Recognition (AMR) simulated dataset carefully curated for fifteen digital modulation schemes consisting of 4QAM, 16QAM, 64QAM, 256QAM, 8PSK, 16PSK, 32PSK, 64PSK, 128PSK, 256PSK, CPFSK, DBPSK, DQPSK, GFSK, and GMSK whose usefulness is predominantly found in modern wireless communication systems. RadioModRec-1 dataset caters for the Rayleigh and the Rician channel models under the Additive White Gaussian Noise (AWGN) from -20dB to +20dB at a step of +5dB.
|
| 13 |
|
| 14 |
### Dataset Description
|
| 15 |
|