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.