Datasets
Standard Dataset
Data of novel features and FS_DT-SSVM
- Citation Author(s):
-
XiaolinZhang
College of Information and Communication Engineering, Harbin Engineering UniversityJiantingSunCollege of Information and Communication Engineering, Harbin Engineering UniversityXiaotongZhangCollege of Information and Communication Engineering, Harbin Engineering University - Submitted by:
- Xiaotong Zhang
- Last updated:
- Tue, 05/17/2022 - 22:17
- DOI:
- 10.21227/0m92-z416
- Data Format:
- Research Article Link:
- License:
643 Views- Categories:
- Keywords:
Abstract
This dataset has 11 sets of feature data extracted with different signal-to-noise and a set of simulation results of modulation classification. Feature dataset consists of 2 novel features and 15 classic features, and dataset of simulation results represents the effectiveness of FS_DT-SSVM classifier.
These data match the experimental data of the paper “Automatic Modulation Classification Based on Novel Feature Extraction Algorithms”.
Instruction of Dataset Document
This file has 11 sets of data with different signal-to-noise and a set of simulation results of modulation classification.
The dataset file SSVM_n10dB includes the features data extracted for training and testing classifier when the signal-to-noise is -10dB.
The dataset file SSVM_n7dB includes the features data extracted for training and testing classifier when the signal-to-noise is -7dB.
The dataset file SSVM_n4dB includes the features data extracted for training and testing classifier when the signal-to-noise is -4dB.
The dataset file SSVM_n1dB includes the features data extracted for training and testing classifier when the signal-to-noise is -1dB.
The dataset file SSVM_2dB includes the features data extracted for training and testing classifier when the signal-to-noise is 2dB.
The dataset file SSVM_5dB includes the features data extracted for training and testing classifier when the signal-to-noise is 5dB.
The dataset file SSVM_8dB includes the features data extracted for training and testing classifier when the signal-to-noise is 8dB.
The dataset file SSVM_11dB includes the features data extracted for training and testing classifier when the signal-to-noise is 11dB.
The dataset file SSVM_14dB includes the features data extracted for training and testing classifier when the signal-to-noise is 14dB.
The dataset file SSVM_17dB includes the features data extracted for training and testing classifier when the signal-to-noise is 17dB.
The dataset file SSVM_20dB includes the features data extracted for training and testing classifier when the signal-to-noise is 20dB.
In these files, word “char_” that appears in the name of dataset represents that the dataset consists of three cyclic spectral features.
In these files, word “cum_” that appears in the name of dataset represents that the dataset consists of five high-order cumulant features.
In these files, word “PF_” that appears in the name of dataset represents that the dataset consists of novel feature, differential nonlinear phase peak factor.
In these files, word “test_Char_” that appears in the name of dataset represents that the dataset consists of eight instantaneous features.
Documentation
| Attachment | Size |
|---|---|
 Instruction of Dataset Document | 100.21 KB |
Comments
Please where is the "file to read" of this dataset as the matlab code when it is generated, gives me error because of this missing file?