An improved method for classification and metrological characterization of disturbances on QAM signals.
Luca De VitoSergio RapuanoGioacchino TrugliaPublished in: IEEE Trans. Instrum. Meas. (2006)
Keyphrases
- classification method
- classification accuracy
- support vector machine svm
- support vector machine
- benchmark data sets
- segmentation method
- training data
- significant improvement
- high accuracy
- image classification
- classification procedure
- classification process
- training phase
- pattern classification
- machine learning methods
- cross validation
- training samples
- model selection
- dynamic programming
- preprocessing
- objective function
- clustering method
- feature selection
- signal processing
- feature set
- pairwise
- training set
- computational complexity
- fundamental frequency