DocumentCode
1124959
Title
Alias-Suppressed Oscillators Based on Differentiated Polynomial Waveforms
Author
Välimäki, Vesa ; Nam, Juhan ; Smith, Julius O. ; Abel, Jonathan S.
Author_Institution
Dept. of Signal Process. & Acoust., TKK-Helsinki Univ. of Technol., Espoo, Finland
Volume
18
Issue
4
fYear
2010
fDate
5/1/2010 12:00:00 AM
Firstpage
786
Lastpage
798
Abstract
An efficient approach to the generation of classical synthesizer waveforms with reduced aliasing is proposed. This paper introduces two new classes of polynomial waveforms that can be differentiated one or more times to obtain an improved version of the sampled sawtooth and triangular signals. The differentiated polynomial waveforms (DPW) extend the previous differentiated parabolic wave method to higher polynomial orders, providing improved alias-suppression. Suitable polynomials of order higher than two can be derived either by analytically integrating a previous lower order polynomial or by solving the polynomial coefficients directly from a set of equations based on constraints. We also show how rectangular waveforms can be easily produced by differentiating a triangular signal. Bandlimited impulse trains can be obtained by differentiating the sawtooth or the rectangular signal. An objective evaluation using masking and hearing threshold models shows that a fourth-order DPW method is perceptually alias-free over the whole register of the grand piano. The proposed methods are applicable in digital implementations of subtractive sound synthesis.
Keywords
acoustic signal processing; audio-frequency oscillators; signal synthesis; acoustic signal processing; alias-suppressed oscillators; audio oscillators; classical synthesizer waveforms; differentiated polynomial waveforms; reduced aliasing; signal synthesis; Acoustic signal processing; antialiasing; audio oscillators; music; signal synthesis;
fLanguage
English
Journal_Title
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher
ieee
ISSN
1558-7916
Type
jour
DOI
10.1109/TASL.2009.2026507
Filename
5153306
Link To Document