Multiresolution Analysis (MRA) is a framework used in signal processing and functional analysis that allows the examination of data at various levels of detail or resolution. It is foundational in constructing wavelets, enabling efficient data compression and feature extraction by decomposing signals into components that capture both coarse and fine details.