Multiresolution analysis breaks up a signal into components that can be added together to reconstruct the original signal. It decomposes variability in data into meaningful parts at different resolutions or scales. Multiresolution analysis is associated with wavelets, which decompose signals into different frequency bands, and is the design method for discrete wavelet transforms and fast wavelet transforms. It allows signals to be analyzed at different levels of resolution.