DocumentCode
580499
Title
Noise probability density function in fixed-point systems based on smooth operators
Author
Rocher, Romuald ; Scalart, Pascal
fYear
2012
fDate
23-25 Oct. 2012
Firstpage
1
Lastpage
8
Abstract
To satisfy cost constraints, application implementation in embedded 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.
Keywords
Gaussian noise; constraint satisfaction problems; fixed point arithmetic; floating point arithmetic; probability; quantisation (signal); signal processing; smoothing methods; algorithm integrity; application implementation; computing accuracy; cost constraint satisfaction; embedded noise systems; fixed point arithmetic; fixed-point specification; fixed-point systems; floating point arithmetic; generalized Gaussian PDF; noise probability density function; noise propagation; output noise; quantization noises; smooth operators; Accuracy; Computational modeling; Finite impulse response filter; Noise; Probability density function; Quantization; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Design and Architectures for Signal and Image Processing (DASIP), 2012 Conference on
Conference_Location
Karlsruhe
Print_ISBN
978-1-4673-2089-4
Electronic_ISBN
978-2-9539987-4-0
Type
conf
Filename
6385372
Link To Document