A Volterra Series Nonlinear Model of the Sampling Distortion in Flash ADCs Due to Substrate Noise Coupling

Stefanou, Athanasios; Gielen, Georges

doi:10.1109/tcsii.2011.2172714

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…These two shortcomings make the conventional flash ADC unsuitable for SoC systems. Several recent designs that have smaller area have been reported such as those in other studies 6–36 …”

Section: Problem Statement and Previous Workmentioning

confidence: 99%

A novel flash‐like all‐metal‐oxide semiconductor analog‐to‐digital converter suitable for system on chips systems

Abdalla

2020

Circuit Theory & Apps

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Summary The analog‐to‐digital converters (ADCs) play a very important role in electronic products, radar, communication systems and signal processing, to name such a few. In this paper, a novel all‐metal‐oxide semiconductor (MOS) flash‐like analog‐to‐digital converter (FLADC) that consists of five stages is proposed. The design was performed using only MOS transistors, and the proposed ADC works in a way similar to the conventional flash ADC. According to the proposed ADC, there is no need for the comparators used in the conventional flash ADCs, thus resulting in a reduction in both the transistor count and the power consumption. The sound operation and the superiority of the proposed ADC compared to previous works is verified by simulation using the 0.13‐μm complementary MOS (CMOS) technology with a power‐supply voltage, VDD, of 1.2 V. The simulation has been conducted on a 5‐bit FLADC that is built by 276 MOS transistors only which is approximately 32% of the transistor count of the corresponding conventional flash ADC and has no resistors. According to the simulation results, the proposed 5‐bit FLADC consumes 3.23 mW at sampling rate of 0.5 GS/s.

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“…These two shortcomings make the conventional flash ADC unsuitable for SoC systems. Several recent designs that have smaller area have been reported such as those in other studies 6–36 …”

Section: Problem Statement and Previous Workmentioning

confidence: 99%

A novel flash‐like all‐metal‐oxide semiconductor analog‐to‐digital converter suitable for system on chips systems

Abdalla

2020

Circuit Theory & Apps

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“…The main drawback is that a (discrete) Volterra model is defined by a number coefficients that grows more than exponentially with the considered order of nonlinearity [14]. For this reason, only very low orders of nonlinearity (usually second and third) are employed in most practical applications [9], [10]- [13]: otherwise, the computational burden and the identification pro-cedure become troublesome. Similarly to a low-order Taylor expansion, such polynomial models may be not accurate for a broad input range, and in any case they are not the proper tools to represent strong nonlinearities.…”

Section: Introductionmentioning

confidence: 99%

Definition of Simplified Frequency-Domain Volterra Models With Quasi-Sinusoidal Input

Faifer

Laurano

Ottoboni

et al. 2018

IEEE Trans. Circuits Syst. I

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The Volterra approach to the modeling of nonlinear systems has been employed for a long time thanks to its conceptual simplicity and flexibility. Its main drawback lies in the number of coefficients, which rapidly grows with memory length and nonlinearity order. In some important cases, such as power system applications, the input signal is periodic and contains a fundamental component that is much larger with respect to the others. This peculiarity can be exploited in order to dramatically reduce the number of coefficients defining the frequency-domain Volterra model with slight drawbacks in terms of accuracy. A systematic procedure for the definition of simplified, frequency-domain models of arbitrary order is proposed. Thanks to the simplification, very high orders of nonlinearity can be managed. The proposed approach has been employed to model the behavior of two electrical devices with different amount of nonlinearity, and that of a power grid containing linear and nonlinear loads. Accuracy is discussed and compared with that obtained with a conventional Volterra model defined by a similar number of coefficients. Results show the effectiveness of the approach, which is particularly suitable to model and test voltage and current transducers as well as other ac power system devices

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“…Recognition and compensation of undesired nonlinearity is one of the important subjects in the field of digital signal processing. [ 10 ] Adaptive Volterra filtering also has some applications to acoustic echo cancelation. [ 11 ] It was shown that the performance of the system was affected by unwanted nonlinearities in the system.…”

Section: Introductionmentioning

confidence: 99%

Noise estimation in electroencephalogram signal by using volterra series coefficients

Hassani¹,

Karami²

2015

J Med Signals Sens

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The Volterra model is widely used for nonlinearity identification in practical applications. In this paper, we employed Volterra model to find the nonlinearity relation between electroencephalogram (EEG) signal and the noise that is a novel approach to estimate noise in EEG signal. We show that by employing this method. We can considerably improve the signal to noise ratio by the ratio of at least 1.54. An important issue in implementing Volterra model is its computation complexity, especially when the degree of nonlinearity is increased. Hence, in many applications it is urgent to reduce the complexity of computation. In this paper, we use the property of EEG signal and propose a new and good approximation of delayed input signal to its adjacent samples in order to reduce the computation of finding Volterra series coefficients. The computation complexity is reduced by the ratio of at least 1/3 when the filter memory is 3.

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A Volterra Series Nonlinear Model of the Sampling Distortion in Flash ADCs Due to Substrate Noise Coupling

Cited by 11 publications

References 13 publications

A novel flash‐like all‐metal‐oxide semiconductor analog‐to‐digital converter suitable for system on chips systems

A novel flash‐like all‐metal‐oxide semiconductor analog‐to‐digital converter suitable for system on chips systems

Definition of Simplified Frequency-Domain Volterra Models With Quasi-Sinusoidal Input

Noise estimation in electroencephalogram signal by using volterra series coefficients

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