… Matching pursuit algorithms are an important class of algorithms in signal processing and
machine learning. We present a blended matching pursuit … ) orthogonal matching pursuit. …

… specific processing methods adapted for blended data still need to … on the decomposition of
the blended signal into a set of … using the Orthogonal Matching Pursuit signal decomposition …

… A better alternative is the matching pursuit (MP) … a new MP variant termed guided matching
pursuit (GMP) which adds … music pieces can be blended together to create new compositions. …

… covery of the data with a significant attenuation of blending noise… Matching Pursuit yield
SNRout = −4.3, which indicates that the non-robust Matching Pursuit failed at removing blending …

… In this paper we develop a deblending algorithm, based on a mathematical model of the …
Hence, our deblending method is based on nested Orthogonal Matching Pursuits (OMPs), that …

… technique using MP and RGB blending. Firstly, we apply matching pursuit to decompose the
seis… Next, we use RGB plotting technique to get the RGB blending attributes of the spectral …

… In this paper, the matching pursuit algorithm is first used to do the adaptive decomposition of
seismic … By adjusting the ratio of the three spectral bands and blend them, the RGB blending …

… jointly analyzed matching pursuits and coordinate … Blended Matching Pursuit (BMP), a
particularly efficient first-order optimization algorithm for general convex objectives, which blends …

… We have developed a robust matching pursuit (RMP) … blending factor for randomly
generated events of varying dips similar to those portrayed in Figure 5a, 5e, and 5i. The blending …

… Matching pursuit has been used recently in seismic signal … as atoms in the matching pursuit
decomposition because it is … The development of matching pursuit aims to overcome the …