Application of Optimized Inverse Filtering to improve Time Response and Phase Linearization in Multi-way Loudspeaker Systems

Di Cola M, Ponteggia D. Application of Optimized Inverse Filtering to improve Time Response and Phase Linearization in Multi-way Loudspeaker Systems. In: AES Convention 129. Audio Engineering Society; 2010. Paper 8261. Available from: https://aes.org/publications/elibrary-page/?id=15683

@inproceedings{DiCola2010_15683,
  author = {Di Cola, Mario and Ponteggia, Daniele},
  title = {{Application of Optimized Inverse Filtering to improve Time Response and Phase Linearization in Multi-way Loudspeaker Systems}},
  booktitle = {AES Convention 129},
  note = {Paper 8261},
  year = {2010},
  month = nov,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15683}
}

TY  - CPAPER
TI  - Application of Optimized Inverse Filtering to improve Time Response and Phase Linearization in Multi-way Loudspeaker Systems
AU  - Di Cola, Mario
AU  - Ponteggia, Daniele
T2  - AES Convention 129
M1  - Paper 8261
PY  - 2010
DA  - 2010/11/06
UR  - https://aes.org/publications/elibrary-page/?id=15683
PB  - Audio Engineering Society
LA  - en
AB  - Digital Processing have been widely demonstrated to be very useful techniques in the improving of loudspeaker systems’ performances. Particular interesting is Inverse Filtering applied to loudspeaker systems because it can improve performances and sound quality in terms of transient response and reduced overall phase shift. Inverse Filtering s a processing technique that can be realized with FIR filtering techniques with a specific sequence of taps that needs to be synthesized “ad hoc” for a specific transducer and/or for a specific loudspeaker system configuration. Most of the studies on this matter so far, with very few exceptions, have been focused on “DSP processing” point of view, being generally related to the involved mathematics and relative numerical problems. This work would rather represent a discussion on the “philosophy” that should drive the application of this technique to process a loudspeaker system in order to really improve it and consequently it’s been focused on the analysis of the loudspeaker system nature and the understanding of what can really be processed with a 1-dimensional “action”. It will be discussed what can be synthesized as a “2-port” model of the speaker and then what can be effectively obtained by processing the input signal of a loudspeaker system.
ER  -