A comparison of least squares and maximum likelihood methods using sine fitting in ADC testing

Šaliga, Ján; Kollár, István; Michaeli, L.; Buša, Ján; Lipták, Jozef; Virosztek, Tamás

doi:10.1016/j.measurement.2013.05.004

Cited by 21 publications

(15 citation statements)

References 8 publications

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“…In different application areas (wireless signal communication [23], mechanical vibrations measurement [24], transimpedance amplifier characterization [25], parametric multicasting mixer noise evaluation [26], ADC testing [27,28], low voltage non-linear power sources [29], electric power quality monitoring [30,31]) the SINAD (Signal to Noise and Distortion ratio, in dB) and the THD F (Total Harmonic Distortion, in %) were adopted to evaluate the workbench performance in terms of noise and distortion. The THD F was calculated as:…”

Section: Resultsmentioning

confidence: 99%

A Novel, Low-Cost and Reliable Workbench for Optimal Voltage Distribution on Piezoelectric Array Actuators

et al. 2019

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The vibration control of structures is a valuable technique to increase their integrity and life-cycle. Among smart materials, the passive and active control systems based on piezoelectric elements have been studied in depth. Since the size and location of the piezo-elements on the structure are relevant matters for the damping efficiency, many works have focused on their placement optimization. Under certain circumstances, some structures may be excited by more vibration modes at the same time; hence, the signal conditioning system of the piezoelectric actuators must be capable of adjusting the driving signal in terms of voltage distribution, frequencies and associated amplitudes in order to maximize the damping efficiency. Moreover, in some applications, it could be useful to individually control each actuator therefore tailor-made power supply and signal generation systems are often necessary. This work suggests a low-cost and reliable workbench that overcomes the afore mentioned problems. The system consists of: (1) two arrays of 13 piezoceramic plates which have been glued on an aluminium beam, (2) ad hoc power supply equipment, and (3) mechanical relays arrays managed by a microcontroller for the individual handling of their operating modes. Furthermore, an Arduino board and an in-house software have been implemented in order to perform a task on each relay that is in turn wired to a single piezoelectric plate (PP). The performance of the developed system is evaluated in terms of noise and distortion of the testing signal measured at different points of the workbench. The results show that the proposed workbench may represent a good trade-off between affordability, accuracy and reliability and it can be used for several research purposes.

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Section: Resultsmentioning

confidence: 99%

A Novel, Low-Cost and Reliable Workbench for Optimal Voltage Distribution on Piezoelectric Array Actuators

et al. 2019

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“…Thus, even if a large number of records is collected a biased noise CDF estimator will however result. Other estimators can be used to remove this bias at the expense of added complexity [18] [19].…”

Section: Estimating S N Using a Swept DC Or An Ac Signalmentioning

confidence: 99%

Measuring the Noise Cumulative Distribution Function Using Quantized Data

Carbone

Schoukens

Kollár

et al. 2016

IEEE Trans. Instrum. Meas.

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This paper considers the problem of estimating the cumulative distribution function and probability density function of a random variable using data quantized by uniform and nonuniform quantizers. A simple estimator is proposed based on the empirical distribution function that also takes the values of the quantizer transition levels into account. The properties of this estimator are discussed and analyzed at first by simulations. Then, by removing all assumptions that are difficult to apply, a new procedure is described that does not require neither the transition levels, nor the input sequence used to source the quantizer to be known. Experimental results obtained using a commercial 12-bit data acquisition system show the applicability of this estimator to real-world type of problems.

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“…The nonlinearity of the converter is not modelled in this standard method. The goal of maximum likelihood (ML) estimation of sine wave and ADC parameters [17], [21] is to provide minimum-variance unbiased (MVU) estimators for the analog excitation signal considering the non-ideal properties of the quantizer. The theoretical and practical aspects of ML estimation for ADC testing are to be itemized in the following subsections.…”

Section: Motivationmentioning

confidence: 99%

Full information ADC test procedures using sinusoidal excitation, implemented in MATLAB and LabVIEW

2015

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Analog-to-digital converters and the need to test these devices appeared simultaneously. Thus, ADC circuit realizations and test methods evolved also simultaneously. In the last decades several techniques have been elaborated and spread worldwide. These are available in IEEE standards and in the literature as well. However, standard methods do not support the recognition of incorrect measurement settings. Accurate test results require careful choice of settings and calculated quality parameters of the ADC under test are very sensitive to imperfections of the measurement setup. In addition, the requirements are different for each test technique and the restrictions can even be contradicting (e.g. overdrive is recommended for histogram test and contraindicated for FFT test). This paper presents solutions to perform the commonly used methods reliably and some advanced methods to increase the performance of ADC quality parameter estimation. Implementations of the proposed algorithms are presented as well, with URL for download.

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A comparison of least squares and maximum likelihood methods using sine fitting in ADC testing

Cited by 21 publications

References 8 publications

A Novel, Low-Cost and Reliable Workbench for Optimal Voltage Distribution on Piezoelectric Array Actuators

A Novel, Low-Cost and Reliable Workbench for Optimal Voltage Distribution on Piezoelectric Array Actuators

Measuring the Noise Cumulative Distribution Function Using Quantized Data

Full information ADC test procedures using sinusoidal excitation, implemented in MATLAB and LabVIEW

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