회귀
신호 소스 분리, 잡음 제거, 신호 복원
딥러닝 기법을 사용하여 신호의 잡음을 제거합니다. 누락된 정보가 있을 때 미분 가능한 시간-주파수 변환을 사용하여 신호를 복원합니다.
함수
블록
Wavelet Scattering | Model wavelet scattering network in Simulink (R2022b 이후) |
도움말 항목
- Manage Data Sets for Machine Learning and Deep Learning Workflows (Signal Processing Toolbox)
Organize, access, and manage data sets for different AI applications.
- Signal Recovery with Differentiable Scalograms and Spectrograms (Wavelet Toolbox)
Use differentiable time-frequency transforms and gradient descent to recover a time-domain signal without the need for phase information.
- Signal Source Separation Using W-Net Architecture (Signal Processing Toolbox)
Use a deep learning network to separate two mixed signal sources.
- Denoise EEG Signals Using Differentiable Signal Processing Layers (Signal Processing Toolbox)
Remove EOG noise from EEG signals using deep learning regression.