Multi-resolution analysis is a technique used in signal processing that allows signals to be examined at various levels of detail. This approach is particularly useful for analyzing complex data, as it enables the extraction of features and patterns that may not be visible at a single resolution. By breaking down a signal into its components at different scales, multi-resolution analysis aids in feature extraction and denoising, making it crucial for applications like analyzing electromyography (EMG) signals and implementing wavelet-based denoising methods.
congrats on reading the definition of multi-resolution analysis. now let's actually learn it.