Paper Info
Title
Suppression of transients in time-varying recursive filters for audio signals
Abstract
A new method for suppressing transients in time-varying recursive filters is proposed. The technique is based on modifying the state variables when the filter coefficients are changed so that the filter enters a new state smoothly without transient attacks, as originally proposed by Zetterberg and Zhang (1988). We modify the Zetterberg-Zhang algorithm to render it feasible for efficient implementation. We explain how to determine an optimal transient suppresser to cancel the transients down to a desired level with the minimum complexity of implementation. The application of the method to time-varying all-pole and direct form IIR filter structures is studied. The algorithm may be generalized for any recursive filter structure. The transient suppression technique finds applications in audio signal processing where the characteristics of a recursive filter needs to be changed in real time, such as in music synthesis, auralization, and equalization
Year
DOI
Venue
1998
10.1109/ICASSP.1998.679646
ICASSP
Keywords
Field
DocType
auralization,zetterberg-zhang algorithm,transients,music synthesis,audio signals,signal processing,direct form iir filter,music,filter coefficients,equalization,poles and zeros,all-pole filter,cascade structures,filtering theory,iir filters,audio signal processing,transients suppression,time-varying filters,minimum implementation complexity,time-varying recursive filters,state variables,recursive filters,parallel structures,interpolation,real time,iir filter,multiple signal classification
Filter (video),Root-raised-cosine filter,Equalization (audio),Control theory,Computer science,High-pass filter,Kernel adaptive filter,Adaptive filter,Recursive filter,Filter design
Conference
Volume
ISSN
ISBN
6
1520-6149
0-7803-4428-6
Citations 
PageRank 
References 
4
1.24
2
Authors
2
Name
Order
Citations
PageRank
Vesa Välimäki1474100.64
Timo I. Laakso212934.24