预处理和特征提取
使用命令行函数或特征提取器提取有意义的信号特征，以在机器学习模型中使用。
App
函数
相关信息
- Spectral Descriptors (Audio Toolbox)
主题
- View, Preprocess, and Write EDF File (Signal Processing Toolbox)
View and preprocess data stored in an EDF file.
- Manage Data Sets for Machine Learning and Deep Learning Workflows (Signal Processing Toolbox)
Organize, access, and manage data sets for different AI applications.
- Accelerate Signal Feature Extraction and Classification Using a Parallel Pool of Workers (Signal Processing Toolbox)
Use parallel computing to extract signal multidomain features for bearing fault detection. (自 R2024b 起)
- Accelerate Signal Feature Extraction and Classification Using a GPU (Signal Processing Toolbox)
Use a graphical processing unit (GPU) to extract signal multidomain features for bearing fault detection. (自 R2024b 起)
精选示例
Machine Learning and Deep Learning Classification Using Signal Feature Extraction Objects
Use signal feature extraction objects and AI-based classification to identify faulty bearing signals in mechanical systems.
Feature Selection Based on Deep Learning Interpretability for Signal Classification Applications
Use the locally interpretable model-agnostic explanation technique to interpret decision-making processes of a deep learning network.
Human Activity Recognition Using Signal Feature Extraction and Machine Learning
Extract features from smartphone sensor signals and use them to classify human activity.
Time-Frequency Feature Embedding with Deep Metric Learning
Construct wavelet-based feature embeddings to classify EEG signals from persons with and without epilepsy.
Signal Classification Using Wavelet-Based Features and Support Vector Machines
Classify electrocardiogram signals using features derived from wavelets and an autoregressive model.
