AI for Signals and Images

Wavelet techniques are effective for obtaining sparse, compressive data representations or features, which you can use in machine learning and deep learning workflows. Wavelet Toolbox™ supports deployment of multiscale feature extraction algorithms through MATLAB^® Coder™ and GPU Coder™ for a number of targets. To take advantage of the performance benefits offered by a modern graphics processing unit (GPU), certain Wavelet Toolbox functions can perform operations on a GPU. These functions provide GPU acceleration for your workflows. Wavelet Toolbox also provides functionality to perform signal labeling.