• 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