Stagewise orthogonal matching pursuit is an iterative algorithm used for sparse representation in signal processing and approximation theory. This method improves upon traditional matching pursuit by conducting a series of steps that focus on selecting the best components while maintaining orthogonality with respect to previously selected components. By breaking down the process into stages, it efficiently refines the approximation of a signal, making it particularly useful in contexts where sparse solutions are desirable.
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