In this paper, we present two important contributions. The first is demonstration of the use of subliminal levels of pseudo-random noise to enhance channel estimation, and the second is a joint time and frequency domain algorithm for multichannel inversion. An adaptive system is presented where the acoustic channel is accurately estimated and utilized. In this implementation, maximum length sequences in the form of pseudo-random noise are superimposed on the source signals to aid the estimation quality of the acoustic channels. Upon estimation, crosstalk cancellation filters are designed using a time and frequency domain technique which uses a window to achieve more efficient and effective cancellation of crosstalk. For a 3x2 crosstalk system, the presented results show the improvement in channel estimation quality when low levels of maximum length sequences are superimposed on the source signals. On average -25dB of crosstalk cancellation is achieved.
|Title of host publication||IEEE International Workshop on Statistical Signal Processing 2014 (SSP 2014)|
|Number of pages||4|
|Publication status||Published - 29 Jun 2014|
|Event||IEEE International Workshop on Statistical Signal Processing 2014 (SSP 2014) - Gold Coast, Australia|
Duration: 29 Jun 2014 → 02 Jul 2014
|Conference||IEEE International Workshop on Statistical Signal Processing 2014 (SSP 2014)|
|Period||29/06/2014 → 02/07/2014|