DocumentCode :
2658525
Title :
A statistical technique for the determination of the noise power gain in higher-order Σ-Δ A/D converters excited by DC input signals
Author :
Fraser, Neil A. ; Nowrouzian, Behrouz
Author_Institution :
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
fYear :
2004
fDate :
13-15 Dec. 2004
Firstpage :
563
Lastpage :
566
Abstract :
The existing techniques available for the statistical determination of the noise power gain (NPG) in general-order Σ-Δ A/D converters are based on the assumption that the quantizer input signal has a Gaussian distribution. However, empirical investigations reveal that this assumption holds true for the special case of the conventional first-order Σ-Δ A/D converters only. This paper presents an alternative technique for a more accurate determination of NPG for higher-order Σ-Δ A/D converters excited by DC input signals. This is achieved by employing the Gram-Charlier series for a (quasi-linear) modelling of the quantizer input signal. The proposed technique is based on the practical assumption that the constituent quantizer operates in its overload-free region. A typical practical application example is given to illustrate the main results.
Keywords :
circuit noise; network analysis; sigma-delta modulation; statistical analysis; statistical distributions; DC input signal excited ADC; Gram-Charlier series; NPG; higher-order Σ-Δ A/D converters; noise power gain determination; overload-free operating region; quantizer input signal distribution; quantizer input signal quasi-linear modelling; statistical techniques; Additive white noise; Analog-digital conversion; Convolution; Digital signal processing; Feedback loop; Gain; Gaussian distribution; Gaussian noise; Sampling methods; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 2004. ICECS 2004. Proceedings of the 2004 11th IEEE International Conference on
Print_ISBN :
0-7803-8715-5
Type :
conf
DOI :
10.1109/ICECS.2004.1399743
Filename :
1399743
Link To Document :
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