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F. Acernese, A. Ciaramella, S. De Martino, R. De Rosa, M. Falanga and R. Tagliaferri, “Neural Networks for Blind Source Separation of Stromboli Explosion Quakes,” IEEE Transactions on Neural Networks, Vol. 14, No. 1, 2003, pp. 167-175. doi:10.1109/TNN.2002.806649

has been cited by the following article:

• TITLE: Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA

  AUTHORS: Angelo Ciaramella, Enza De Lauro, Salvatore De Martino, Mariarosaria Falanga, Roberto Tagliaferri

  KEYWORDS: Independent Component Analysis, Sound Synthesis, Non-Linear Oscillators, Integrate Circuits

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.3, August 31, 2011

  ABSTRACT: Aim of this work is to analyze and to synthesize acoustic signals emitted by organ pipes. An Independent Component Analysis technique is applied to study the behavior of single notes or chords obtained in real and simulated environments. These analyses suggest that the pipe acoustic signals can be described by a mixture of nonlinear oscillations obtained by a self-sustained feedback system (i.e., Andronov oscillator). This system allows to obtain a realistic pipe waveform with features very similar to the sound produced by the pipe and to propose an additive synthesis model. Moreover, suitable analogical and integrate circuit models, able to reproduce the registered waveforms and sound, have been designed. A comparison between real and reconstructed acoustic signals is provided.