@inproceedings{ahm-zwo-07-aa-dspword,
  author = {Arash Ahmadi and Mark Zwolinski},
  title = {A Symbolic Noise Analysis Approach to Word-Length Optimization in {DSP} Hardware},
  booktitle = {Proceedings of the 2007 International Symposium on Integrated Circuits (ISIC)},
  year = 2007,
  pages ={457-460},
  doi = {10.1109/ISICIR.2007.4441897},
  comment = {Mentions AA},
  abstract = {This paper addresses the problem of choosing different word-lengths for each functional unit in fixed-point implementations of DSP algorithms. A symbolic-noise analysis method is introduced for high-level synthesis of DSP algorithms in digital hardware, together with a vector evaluated genetic algorithm for multiple objective optimization. The ability of this method to combine word-length optimization with high-level synthesis parameters and costs to minimize the overall design cost is demonstrated by example designs.}
}