Low-frequency stochastic true RMS instrument

Vujičić, Vladimir; Milovancev, S.S.; Pesaljevic, M.D.; Pejic, Dragan; Zupunski, I.

doi:10.1109/19.769630

Cited by 44 publications

(32 citation statements)

References 3 publications

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“…So these papers have proposed a different method apart from FFT which is known as stochastic measurements [1,2], instead of spectral analysis they have shown their affinity with voltage and current harmonic analysis. In this study [3] they have designed the parameter of stochastic analysis with harmonic estimation for the direct current portion and being converged until 49 harmonics.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Novel Complete Filter for EEG Application on FPGA

Mahabub¹

2018

IJIGSP

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Abstract-Filter is vastly used to detect different human signal in real time. In this paper, a novel complete digital filter is proposed for the fast detection of EEG signals due to avoid the mixtures of different biomedical signals. This paper intends to design a digital complete filter based on Field Programmable Gate Array (FPGA) for the alleviation of unwanted frequency components in biomedical signals specially EEG signals. For this purpose, complete filter which is a combination of integrator filter and differentiator filter which supports both low and high noises and comparatively inexpensive than other signal processing methodologies can be used. For hardware implementation, FPGA board is used which is a combination of different logic gates which offers inexpensive and long lasting services.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Novel Complete Filter for EEG Application on FPGA

Mahabub¹

2018

IJIGSP

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“…The measurement uncertainty is estimated using the applied theory of discrete signals and systems, underpinned by algebraic calculations [3]. An alternative strategy, the "stochastic measurement over an interval" [4], has been researched in three challenging areas: measurements that require high accuracy and linearity [5][6][7], measurement of fast-changing signals and noisy signals [8,9]. Numerous simulations, prototype instruments and experiments have proven the metrological applicability of the stochastic approach [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…the true RMS value of signals [4][5][6][7]. Hence it is capable of answering the first question with much simpler hardware and lower energy consumption with respect to the standard approach solutions.…”

Section: Introductionmentioning

confidence: 99%

“…Such structure was used to measure the power or RMS of deterministic signals [4][5][6][7], but here it is utilized to measure the total (integral) noise power in the initial (first) phase. It enables a straightforward determination whether it is necessary to start the complex measurement processes of the identification (second) phase.…”

Section: Introductionmentioning

confidence: 99%

“…The model of a stochastic instrument [4,5,7] is employed, but a novel analysis of measurement result and measurement uncertainty is proposed. The theoretical considerations for the first time incorporate the detailed analysis of the influence of input signal's stochastic nature onto the measurement process.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic measurement of noise true RMS using two-bit flash A/D converters

Sovilj

Vujičić

Sokola³

et al. 2017

Teh. vjesn.

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Original scientific paper The paper presents an application of the stochastic measurement approach for true RMS and power of noise. The instrument structure is based on two 2-bit flash analog-to-digital (A/D) converters whose inputs are the dithered noise, and on accumulation of the product of the converters' outputs. New theoretical expressions for predicting measurement result and measurement uncertainty, with inclusion of input signal's stochastic nature, are derived. Extensive simulations and experiments prove the validity of the proposed method and its low measurement uncertainty, even at a relatively low sampling rate. These indicate that, beside general applications for noise measurements, the instrument is suitable for chemical and biological substances detection that utilizes graphene sensors. Keywords: digital measurements; measurement uncertainty; noise measurement; stochastic processes Stohastičko mjerenje efektivne vrijednosti šuma dvo-bitnim flash A/D konvertorimaIzvorni znanstveni članak U ovom radu je predstavljena primjena pristupa stohastičkog mjerenja u mjerenju efektivne vrijednosti i snage šuma. Struktura instrumenta je zasnovana na dva dvo-bitna flash analogno-digitalna (A/D) konvertora, na čije ulaze se dovodi diterovani šum, i na akumulaciji proizvoda konvertorskih izlaza. Izvedeni su novi teorijski izrazi za predviđanje rezultata mjerenja i mjerne nesigurnosti, koji uključuju stohastičku prirodu ulaznih signala. Ekstenzivne simulacije i eksperimenti dokazuju validnost predložene metode i njenu nisku mjernu nesigurnost, čak i pri relativno niskoj frekvenciji uzorkovanja. Ovo ukazuje da je prikazani instrument, osim za opću primjenu u mjerenju šuma, pogodan i za detekciju kemijskih i bioloških tvari, zasnovanu na upotrebi grafenskih senzora.

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