@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.} }