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Analysis of the quantization noise effects on the SQNR behaviour in analog to digital conversion

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5 Author(s)
Vincentelli, A.S. ; Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA ; Re, M. ; Lavagno, L. ; Cardarilli, G.C.
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The characterization of the quantization effects due to the conversion of infinite precision quantities to fixed-point arithmetic constitutes a relevant research area. It is of fundamental importance for the development of automatic tools for the transformation of DSP algorithms from floating point to fixed point arithmetic. In this paper a novel approach for the direct computation of the probability density function (PDF) at the output of generic memory-less nonlinear processing blocks is derived. Our analysis has been applied to the modeling of the THA-ADC chain. By using this approach, we are able to determine the exact behavior of the Signal to Noise Quantization Ratio (SQNR) for cases where the well-known Pseudo Quantization Noise (PQN) model does not give accurate results

Published in:

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on  (Volume:2 )

Date of Conference:

Jul 1999