DocumentCode
3404129
Title
Filter-based alias reduction for digital classical waveform synthesis
Author
Pekonen, Jussi ; Välimäki, Vesa
Author_Institution
Dept. of Signal Process. & Acoust., TKK Helsinki Technol. Univ., Helsinki
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
133
Lastpage
136
Abstract
The classical waveforms used in the subtractive sound synthesis have rich spectral content, which causes their sampled digital implementations to suffer from aliasing distortion. Several antialiasing waveform synthesis algorithms have been suggested, and they either remove the aliasing completely or reduce it greatly. A new approach to alias reduction is proposed where the remaining aliased components are suppressed by applying digital highpass and/or comb filtering to the output of an antialiasing algorithm. Applicable filter designs for this novel postprocessing approach are discussed and evaluated with respect to the alias reduction performance using noise-to-mask ratio (NMR). The NMR can be reduced by 10 dB at high fundamental frequencies with a computationally efficient highpass filter. The NMR can be further reduced by using a combination of an IIR comb filter and a DC blocking filter, which provides the best alias reduction performance at high fundamental frequencies.
Keywords
IIR filters; acoustic signal processing; comb filters; high-pass filters; DC blocking filter; IIR comb filter; alias reduction performance; antialiasing waveform synthesis algorithms; digital classical waveform synthesis; filter-based alias reduction; highpass filter; noise-to-mask ratio; subtractive sound synthesis; Digital filters; Filtering algorithms; Frequency; IIR filters; Nuclear magnetic resonance; Oscillators; Power harmonic filters; Sampling methods; Signal processing algorithms; Signal synthesis; Acoustic signal processing; antialiasing; audio oscillators; music; signal synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4517564
Filename
4517564
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