Classificazione
Classificare gli attributi del segnale, eseguire la segmentazione del segnale tramite la classificazione sequenza-sequenza
Derivare le feature utilizzando tecniche tempo-frequenza per la classificazione dei segnali.
Funzioni
Blocchi
Wavelet Scattering | Model wavelet scattering network in Simulink (Da R2022b) |
Argomenti
- Classify Arm Motions Using EMG Signals and Deep Learning (Signal Processing Toolbox)
Classify arm motions using labeled EMG signals and a long short-term memory network.
- Detect Air Compressor Sounds in Simulink Using Wavelet Scattering (DSP System Toolbox)
Use the Wavelet Scattering block and a pretrained deep learning network to classify audio signals.
- Detect Anomalies in ECG Data Using Wavelet Scattering and LSTM Autoencoder in Simulink (DSP System Toolbox)
Use wavelet scattering and deep learning network to detect anomalies in ECG signals.
- Manage Data Sets for Machine Learning and Deep Learning Workflows (Signal Processing Toolbox)
Organize, access, and manage data sets for different AI applications.