Title :
Statistical Efficiency of Sinewave Fitting When Using Non-Linear Quantizers
Author :
Moschitta, Antonio ; Carbone, Paolo
Author_Institution :
Dipt. di Ingegneria Elettronica e dell´´Informazione, Universita degli Studi di Perugia
Abstract :
In this paper, the Cramer-Rao lower bound on the estimation of the parameters of a noisy sinewave based on quantized data is discussed. The effects of overloading noise and integral non-linearity are considered and modeled, assuming both coherent and non-coherent signal sampling. It is shown that a simplified model can be derived, which describes the Cramer-Rao lower bound by considering only the most frequently excited ADC transition levels. Then the effects of quantization on the sinewave fitting statistical efficiency are investigated
Keywords :
quantisation (signal); signal sampling; statistical analysis; ADC transition levels; Cramer-Rao lower bound; coherent signal sampling; integral nonlinearity; noisy sinewave; noncoherent signal sampling; nonlinear quantizers; overloading noise; quantized data; sinewave fitting; Additive white noise; Amplitude estimation; Degradation; Dynamic range; Fitting; Gaussian noise; Parameter estimation; Quantization; Sampling methods; Testing; Cramér-Rao Lower Bound; Integral Non-Linearity; Overloading; Quantization; Sinewave Fitting;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604168
