In this paper, we present a hybrid mixed cost-function adaptive initialization algorithm for the time domain equalizer in a discrete multitone (DMT)-based asymmetric digital subscriber loop. Using our approach, a higher convergence rate than that of the commonly used least-mean square algorithm is obtained, whilst attaining bit rates close to the optimum maximum shortening SNR and the upper bound SNR. Moreover, our proposed method outperforms the minimum mean-squared error design for a range of TEQ filter lengths.
|Name||International Conference on Acoustics Speech and Signal Processing (ICASSP)|
|Conference||IEEE International Conference on Acoustics, Speech, and Signal Processing|
|Period||13/05/2002 → 17/05/2002|
- Signal Processing
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics