Özbek, M. ErdalSavacı, Ferit Acar2021-01-242021-01-242007978-1-4244-0719-4https://hdl.handle.net/11147/10080IEEE 15th Signal Processing and Communications Applications ConferenceIn this work, subband coefficients obtained from one dimensional wavelet decomposition of isolated note samples of different instruments has been modeled using generalized Gaussian density. By using only model parameters, the classification of music instruments has been done by calculating the Kullback-Leibler divergence between two different densities. The effect of different mother wavelet functions used in wavelet decomposition has also been investigated.trinfo:eu-repo/semantics/openAccessConference Object2-s2.0-50249098737