Frequency estimation of discrete time signals based on fast iterative algorithm

Pan, Xinyu; Zhao, Heming; Zou, Wei; Zhou, Yan; Ma, Jieming; Wang, Jian; Hu, Fuyuan

doi:10.1016/j.measurement.2016.01.026

Cited by 8 publications

(10 citation statements)

References 6 publications

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“…Database samples were influenced by various factors, such as age, occupational background, cultural background, health status, and test time. Therefore, these factors must be considered when establishing the lie database (Pan et al, 2016). Moreover, it is necessary to consider the probabilistic model of the language when building a lie database.…”

Section: Lying Speech Databasementioning

confidence: 99%

An Overview of Advancements in Lie Detection Technology in Speech

Zhou

2023

International Journal of Information Technologies and Systems Approach

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Lie detection technology in speech is a process of lying psychological state recognition according speech signal analysis. Normally, the emotion of tension if felt when people lie. As a result, this tension leads to some subtle changes of the sound channel structure; for example, the semantic characteristics, prosodic characteristics, resonance peak, and the psychoacoustics parameters all can be different from before. In this paper, the development situation of current lie detection technology is presented. Several public speech databases for lie detection are also introduced. Then, the research situation of feature expression, selection, and extraction for lie detection is described. In addition, the research progress of lie detection algorithm is highlighted. Finally, the future direction and the existing problems of lie detection technology in speech are summarized.

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Section: Lying Speech Databasementioning

confidence: 99%

An Overview of Advancements in Lie Detection Technology in Speech

Zhou

2023

International Journal of Information Technologies and Systems Approach

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“…From (14) to (17), we can know that: ① If the average method is adopted or not, the measured frequency is calculated only by two data, the rest of data between two endpoint has been missed. ② The frequency measurement relative error δ 0, N is smaller than δ j, i because the denominator of (17) is larger than (15).…”

Section: Modellingmentioning

confidence: 99%

“…The work in [16] introduces an enhanced the zero-crossing technique for sinusoidal signals frequency measurement in critical noise conditions. A fast iterative algorithm is developed in [17] to improve the frequency tracking performance for low SNR signal. Prony method descripted in [18] is used to estimate the parameters of the FID signal.…”

Section: Introductionmentioning

confidence: 99%

Frequency measurement approach based on linear model for increasing low SNR sinusoidal signal frequency measurement precision

Tan

Yue

Wang

2019

IET Science, Measurement & Technology

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“…Works concerning these methods and their modifications were also conducted by Sienkowski et al, and published in [11,12]. Works concerning related iteration methods are being carried out as well [13].…”

Section: Introductionmentioning

confidence: 99%

Metrology and Measurement Systems

Zygarlicki,

Zygarlicka,

Mroczka

2020

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The paper presents an algorithm for determining parameters of single sinusoidal components contained in the analyzed digital signal with the use of a small number of mathematical operations. The proposed algorithm can be applied, among others, in measuring devices to monitor basic parameters of electric energy quality as well as in devices used to determine the phasor in the power system. The proposed simplification of the algorithm for determining the sinusoidal components of the analyzed signal allows to use it in embedded devices with low computing power, which translates into lower cost of construction of devices of this type, while maintaining full functionality of the measuring system. The article contains a mathematical argument, which leads to the proposed algorithm, then the optimization of the number of performed mathematical operations is presented. The last part of the paper includes information about performed mathematical operations and presents exemplary times of execution of the algorithm for simple embedded devices.

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Frequency estimation of discrete time signals based on fast iterative algorithm

Cited by 8 publications

References 6 publications

An Overview of Advancements in Lie Detection Technology in Speech

An Overview of Advancements in Lie Detection Technology in Speech

Frequency measurement approach based on linear model for increasing low SNR sinusoidal signal frequency measurement precision

Metrology and Measurement Systems

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