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Wideband communication system sensitivity to quantization noise

IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276), 2003
The performances of A/D converters are usually characterized in their granular region, by adopting amplitude limited sine-wave testing signals. However, some applications, like digital telecommunication systems, often require the conversion of signals which noticeably differ from sine-waves and may introduce ADC overloading phenomena.
MOSCHITTA, Antonio, Petri D.
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Quantization Noise Spectra

2009
Uniform qunntizers play a fundamental role in digital communication systems and have been the subject of extensive study for many decades, The inherent nonlinearity of quantizers makes their analysis hoth difficult and Interesting, It usually has been accomplished either by assuming the quantizer noise to be a signal-independent, uniform white random ...
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Uniform Quantization Noise

1990
We now turn to a theoretical study of the most important practical source coding system: uniform quantization. This example provides a guinea pig for several of the theoretical bounds and approximations of this book. We shall see that some of the aysmptotic theory provides useful insight into the quality of simple scalar quantization, but that other ...
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Analysis of quantization noise and state estimation with quantized measurements

Journal of Control Theory and Applications, 2011
The approximate correction of the additive white noise model in quantized Kalman filter is investigated under certain conditions. The probability density function of the error of quantized measurements is analyzed theoretically and experimentally.
Jian Xu, Jianxun Li, Sheng Xu
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A noise model for quantized data

IMTC/98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222), 2002
The paper analyzes the overall conversion error of a noisy analog-to-digital (A/D) converter affected by Gaussian noise at its input or generated within the A/D itself. It is shown that under mild conditions concerning the ratio between the input noise standard deviation and the quantization step, the overall conversion error can be modeled by a ...
BERTOCCO, MATTEO   +3 more
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Quantization Noise and Dithering

2019
While various circuit noise sources, such as thermal noise, shot noise or 1∕f noise, have a physical origin, other types of noise, like quantization or roundoff noise, occur as a consequence of computational operations performed by circuits. Specifically, the digitization of bandlimited signals with analog-to-digital converters (ADCs) involves not only
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Quantization noise in binary holograms

Optics Communications, 1975
The signal-to-noise (S/N) ratio in the reconstructed image from a binary hologram has been quantitatively related to the amplitude and phase quantization levels. The S/N ratio increases monotonically with increasing number of quantization levels. This observation is further supported by experimental results.
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Noise-assisted quantization in sensor networks

AIP Conference Proceedings, 2009
We propose the use of sensing noise as a practical way to introduce heterogeneity in a homogeneous sensing network, and thus improve sensing performance. In particular, we show that in a sensor network which aggregates the results from multi‐level quantizing sensors each having the same input signal, adding independent noise to the sensors can reduce ...
Shin Mizutani   +6 more
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Quantizing Noise of ΔM/PCM Encoders

Bell System Technical Journal, 1973
We consider the pulse-code-modulation encoder that contains a delta modulator for analog-to-digital conversion, and a finite impulse response digital filter that suppresses high-frequency components of the delta modulation signal. A PCM word generator produces fixed-length binary code words by rounding and amplitude limiting the filter output samples ...
David J. Goodman, Larry J. Greenstein
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Delta Modulation Granular Quantizing Noise

Bell System Technical Journal, 1969
We present a statistical analysis of a single integration delta modulation system in which slope overload effects are negligible. In defining the delta modulation signal ensemble, we identify a binary phase parameter and show that when this parameter is random, the signal statistics are stationary, provided the input is stationary.
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