Practical Application of Linear Phase Crossovers with Transition Bands Approaching a Brick Wall Response for Optimal Loudspeaker Frequency, Impulse and Polar Response

Baird J, McGrath D. Practical Application of Linear Phase Crossovers with Transition Bands Approaching a Brick Wall Response for Optimal Loudspeaker Frequency, Impulse and Polar Response. In: AES Convention 115. Audio Engineering Society; 2003. Paper 5885. Available from: https://aes.org/publications/elibrary-page/?id=12370

@inproceedings{Baird2003_12370,
  author = {Baird, Justin and McGrath, David},
  title = {{Practical Application of Linear Phase Crossovers with Transition Bands Approaching a Brick Wall Response for Optimal Loudspeaker Frequency, Impulse and Polar Response}},
  booktitle = {AES Convention 115},
  note = {Paper 5885},
  year = {2003},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12370}
}

TY  - CPAPER
TI  - Practical Application of Linear Phase Crossovers with Transition Bands Approaching a Brick Wall Response for Optimal Loudspeaker Frequency, Impulse and Polar Response
AU  - Baird, Justin
AU  - McGrath, David
T2  - AES Convention 115
M1  - Paper 5885
PY  - 2003
DA  - 2003/10/06
UR  - https://aes.org/publications/elibrary-page/?id=12370
PB  - Audio Engineering Society
LA  - en
AB  - Conventional crossover design methods utilize traditional frequency selective networks to combine multiple transducers into a single full-bandwidth system. These traditional networks, whether they are implemented in analogue or digital form, exhibit large transition bands and suffer from phase distortion. These characteristics result in poor frequency, impulse and polar responses. A practical crossover implementation is presented that removes the detrimental effects of transition bands and phase distortion. This method implements linear phase crossovers whose transition bands approach a theoretical ideal brick wall response. Comparisons to conventional crossovers will be presented. Applications to large scale array optimization are also discussed and presented.
ER  -