P. C. Websdell and J. A. Angus, “The Effect of Different Metrics on the Performance of “Stack” Algorithms for Look-Ahead Sigma Delta Modulators,” in Proc. AES Convention 123, Oct. 2007, Paper 7202. [Online]. Available: https://aes.org/publications/elibrary-page/?id=14260
Websdell PC, Angus JA. The Effect of Different Metrics on the Performance of “Stack” Algorithms for Look-Ahead Sigma Delta Modulators. In: AES Convention 123. Audio Engineering Society; 2007. Paper 7202. Available from: https://aes.org/publications/elibrary-page/?id=14260
@inproceedings{Websdell2007_14260,
author = {Websdell, Peter C. and Angus, Jamie A.},
title = {{The Effect of Different Metrics on the Performance of “Stack” Algorithms for Look-Ahead Sigma Delta Modulators}},
booktitle = {AES Convention 123},
note = {Paper 7202},
year = {2007},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=14260}
}
TY - CPAPER
TI - The Effect of Different Metrics on the Performance of “Stack” Algorithms for Look-Ahead Sigma Delta Modulators
AU - Websdell, Peter C.
AU - Angus, Jamie A.
T2 - AES Convention 123
M1 - Paper 7202
PY - 2007
DA - 2007/10/06
UR - https://aes.org/publications/elibrary-page/?id=14260
PB - Audio Engineering Society
LA - en
AB - Look-ahead Sigma-Delta modulators look forward k samples before deciding to output a “one” or a “zero”. The Viterbi algorithm is then used to search the trellis of the exponential number of possibilities that such a procedure generates. This paper describes alternative tree based algorithms. Tree based algorithms are simpler to implement because they do not require backtracking to determine the correct output value. They can also be made more efficient using “Stack” algorithms. Both the tree algorithm and the more computationally efficient “Stack” algorithms are described. In particular, the effects of different error metrics on the performance of the “Stack” algorithm are described and the average number of moves required per bit discussed. The performance of the “Stack” algorithm is shown to be better than previously thought.
ER -