Title :
Noise probability density function in fixed-point systems based on smooth operators
Author :
Rocher, Romuald ; Scalart, Pascal
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;
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