Keyphrases
Classification Basis
100%
Frequency Mode
100%
Frequency Component
100%
Electroencephalography
100%
MI-EEG
100%
Signal Classification
100%
Empirical Wavelet Transform
100%
Amplitude Components
100%
Mode Amplitudes
100%
Classification Accuracy
66%
Motor Imagery
33%
Brain-computer Interface Systems
33%
Instantaneous Frequency
33%
Instantaneous Amplitude
33%
Amplitude Frequency
33%
Hilbert Transform
16%
High Failure Rate
16%
Mode Selection
16%
Execution Time
16%
Higher-order Statistics
16%
Single Feature
16%
System Application
16%
Statistical Features
16%
System Complexity
16%
Brain Development
16%
Signal Component
16%
Brain-computer Interface
16%
Skewness
16%
Kurtosis
16%
Machine Learning Classifiers
16%
Benchmark Dataset
16%
Signal Decomposition
16%
Least Square Support Vector Machine Classifier
16%
Component Features
16%
Welch Power Spectral Density
16%
Component Extraction
16%
Frequency Signal
16%
Signal Behavior
16%
Transform Order
16%
Overall System Performance
16%
Data-adaptive
16%
Transform Method
16%
Wavelet Transform Method
16%
Power Spectral Density Analysis
16%
Engineering
Classification Accuracy
100%
Motor Imagery
100%
Frequency Component
100%
Brain-Computer Interface
75%
Instantaneous Frequency
50%
Mode Selection
25%
Power Spectral Density
25%
Higher-Order Statistics
25%
Systems Performance
25%
Support Vector Machine
25%
Least Square
25%
Success Rate
25%
Execution Time
25%
Single Feature
25%
Frequency Signal
25%
Signal Component
25%
Computer Science
Wavelet Transforms
100%
Frequency Component
100%
Classification Accuracy
66%
Computer Interface
50%
Interface System
33%
Instantaneous Amplitude
33%
Instantaneous Frequency
33%
Execution Time
16%
Machine Learning
16%
Decomposition Method
16%
Systems Performance
16%
Single Feature
16%
Signal Decomposition
16%
System Complexity
16%
least square support vector machine
16%
Signal Component
16%
Power Spectral Density
16%
Frequency Signal
16%
Component Extraction
16%
Order Statistic Feature
16%
Higher-Order Statistics
16%
Hilbert Transform
16%