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Noise Probability Density Function in Fixed-Point Systems based on smooth operators

Romuald Rocher 1 Pascal Scalart 1 
1 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
Abstract : To satisfy cost constraints, application implementation in embed- ded systems requires fixed point arithmetic. Thus, the application defined in floating point arithmetic must be converted into a fixed- point specification. This conversion requires accuracy evaluation to ensure algorithm integrity. Indeed, fixed-point arithmetic generates quantization noises due to the elimination of some bits during a cast operation. These noises propagate through the system and degrade computing accuracy. In this paper, a method based on Generalized Gaussian PDF is presented to model and generate the output noise of the system. The accuracy of the proposed model is evaluated through different experiments.
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Submitted on : Monday, October 15, 2012 - 1:36:15 PM
Last modification on : Wednesday, February 2, 2022 - 3:50:47 PM
Long-term archiving on: : Wednesday, January 16, 2013 - 3:38:29 AM


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  • HAL Id : hal-00741824, version 1


Romuald Rocher, Pascal Scalart. Noise Probability Density Function in Fixed-Point Systems based on smooth operators. DASIP, Oct 2012, Karksruhe, Germany. ⟨hal-00741824⟩



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