Artificial intelligence (AI) offers new opportunities to improve signal processing systems for various real-world signals, such as biomedical and audio. You can use MATLAB products to interactively explore, create, and preprocess data, engineer features, build AI models, and deploy AI systems.
Apps for Signal Processing and Labeling
Use low-code apps to improve data quality through exploration, analysis, preprocessing, and automatic labeling of the ground truth.
Create AI models with machine learning and deep learning algorithms or use pretrained models.
Engineer features from signals using feature extraction (pca, wavelet scattering) or time-frequency transformations (spectrogram, wavelet transform).
Deploy AI-Powered Systems
Simulate and deploy your domain-specific AI systems to embedded hardware, enterprise systems, or the cloud.
Using AI for Signal Processing with MATLAB
Whether you are new to AI for signal processing or designing comprehensive AI systems, explore these tutorials, examples, and courses to advance your skills and help you with your next project.
Prepare Signals for Modeling
See How Customers Apply AI with MATLAB and Simulink
Learn about the products used with AI for signal processing applications.