Extract Signal Features

Per-frame feature extraction for 1D signals using the three Signal Processing Toolbox extractor objects. Picks the right extractor, configures it with real parameters only, and adds a GPU code path when one is available.

When to Use

• The user has a 1D signal and wants per-frame features for analysis or ML.
• The user names specific features from any of the three extractor domains (time, frequency, time-frequency).
• The user asks for a feature table or feature matrix to feed fitcecoc, fitcnet, or any classifier / regressor.
• The user asks for per-frame statistics over a windowed signal.

When NOT to Use

• Filter design or signal preprocessing — out of scope. Filtering before feature extraction is a separate concern.
• Audio-specific features (MFCC, mel-spectrogram, pitch, chroma, gammatone). Audio Toolbox's audioFeatureExtractor covers those — out of scope here.
• Batch / dataset orchestration — signalDatastore, labeledSignalSet, tall arrays. The per-file extraction is in scope; building the pipeline around it is not.
• 2D, image, or multivariate features — out of scope by signal-type boundary.

Workflow