Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa hoc quốc tế đề tài : Musical applications of real-time signal processing | Pakarinen et al. EURASIP Journal on Advances in Signal Processing 2011 2011 108 http content 2011 1 108 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal EDITORIAL Open Access Musical applications of real-time signal processing 1 2 3 4 1 Jyri Pakarinen Jonathan S Abel Federico Fontana Victor Lazzarini and Vesa Valimaki With the advent of digital technology musical signal processing applications have greatly expanded the frontiers of artistic expression by creating a myriad of new possibilities for music and sound creation and manipulation as well as music listening. The latest academic and commercial research has produced an abundant set of real-time signal processing applications for sound synthesis and control realistic emulation of analog and vintage effects devices and synthesizers musical content analysis and audio coding. This special issue presents several new research results in musical real-time signal processing. The issue starts with a review article by the guest editors discussing recent advances in this fascinating field focusing primarily on musical effects processing synthesis and virtual analog models. Novel sound synthesis algorithms are introduced in the following three research articles. In the first contributed research article Trombone Synthesis by Model and Measurement Smyth and Scott propose a physics-based trombone synthesis model making use of two transfer functions which are measured inside and outside the instrument. In Feedback Amplitude Modulation Synthesis by Klei-mola et al. the authors recast feedback amplitude modulation FBAM into the algebra of periodically linear time-varying digital filters. The third article DiscreteTime Modelling of the Moog Sawtooth Oscillator Waveform by Pekonen et al. challenges the mainstream trend in electronic musical circuit simulation based on virtual analog system modeling by proposing a signal-based approach to the simulation of the Moog synthesizer .
