Note onset detection is the preliminary work for recognition of high-level musical feature

such as pitch

rhythm

tempo and paragraphs

in content-based music information retrieval.This paper proposed two novel algorithms based on matching pursuit(MP):the algorithm of MP degree of explaination and the algorithm of MP change of partial.Firstly

the musical signals were decomposed through MP

and then the code books were analyzed with the two algorithms.Finally

a modified peak-picking algorithm was applied to generate note onset vectors.The experiments showed the performance of our algorithms was nearly as good as that of 2011 MIREX.