Skip to Main content Skip to Navigation

Numerical Accuracy Evaluation for Polynomial Computation

Abstract : Fixed-point conversion requires fast analytical methods to evaluate the accuracy degradation due to quantization noises. Usually, analytical methods do not consider the correlation between quantization noises. Correlation between quantization noises occurs when a data is quantized several times. This report explained, through an example, the methodology used in the ID.Fix tool to support correlation. To decrease the complexity, a method to group together several quantization noises inside a same noise source is described. The maximal relative estimation error obtained with the proposed approach is less than 2 %.
Complete list of metadata

Cited literature [8 references]  Display  Hide  Download
Contributor : Daniel Menard Connect in order to contact the contributor
Submitted on : Tuesday, February 21, 2012 - 4:37:31 PM
Last modification on : Tuesday, October 19, 2021 - 11:58:51 PM
Long-term archiving on: : Friday, November 23, 2012 - 2:20:16 PM


Files produced by the author(s)


  • HAL Id : hal-00672654, version 1


Naud Jean-Charles, Daniel Menard. Numerical Accuracy Evaluation for Polynomial Computation. [Research Report] RR-7878, INRIA. 2012, pp.20. ⟨hal-00672654⟩



Les métriques sont temporairement indisponibles