Signal processing correction in spectral analysis using the surrogate autocovariance observation functions obtained by the ATS-algorithm

Kostenko, P. Yu.; Vasylyshyn, Volodymyr

doi:10.3103/s0735272714060016

Cited by 10 publications

(6 citation statements)

References 13 publications

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“…The value of spectral power density is a useful concept to show the band value at the optimum frequency of the existing signal transmission system. The useful energy power for the frequency spectrum which is a calculated density can be processed using the FFT method [12]. Power Spectral value can be obtained equation (1,2 and 3):…”

Section: Power Spectral Density (Psd)mentioning

confidence: 99%

Signal detection for identification energy and behaviour of male dolphin bottle nose (Tursiopsaduncus) using NTD Model

Taki

Lubis

2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. Noisy Time Domain (NTD) model and behaviour of male dolphin using the underwater camera, and also comparing between sound and time from the spectrum.Collecting data was taken at the Safari Park of Cisarua Bogor in Indonesia, in show pool. Data at the show with replications 1,2, and 3 has a salinity of 29 ‰. Sound whistle 3 is 28.03 dB with the frequency interval of 14.64 kHz-16 kHz. The results showed that salinity in the show pool with replication 1,2, and 3 has salinity value that is equal to 30 ‰. F-test at the show pool has heterogeneous value. Treat at the show pool has a value of P <0.001 and P <0.001. Noisy Time Domain have differences with each other and have a lot of different sound patterns and detection of energy from power spectral density (PSD) signal.

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Section: Power Spectral Density (Psd)mentioning

confidence: 99%

Signal detection for identification energy and behaviour of male dolphin bottle nose (Tursiopsaduncus) using NTD Model

Taki

Lubis

2018

IOP Conf. Ser.: Earth Environ. Sci.

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“…Power spectral density is a useful concept to determine the optimum frequency band of the signal transmission system. PSD is a variation of power (energy) as a function of the frequency spectrum in the form of density estimated using FFT, PSD method is one of the modern spectral estimation technique proposed during this decade for identification of whistle sound and relation to the behavior of male bottle nose dolphin (Kostenko and Vasylyshyn, 2014). Power Spectral value can be obtained equation (1,2 and 3):…”

Section: Power Spectral Density (Psd)mentioning

confidence: 99%

Whistle sound detection and behaviour of male dolphin bottle nose (Tursiops aduncus) using noisy time domain modelling in captivity

Lubis

Kumar

Anggraini³

2017

ACEH J ANIM SCI

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Whistle sound is a voice that is intended to echolocation, whistle sound is a major role in internal and intergroup communication. The objective research passive acoustic was to examine the power spectral patterns and fluctuations in sound based on the frequency of the sounds produced by male bottle nose dolphin and observing the position of male bottle nose dolphin. Data recording was taken at the Safari Park of Cisarua Bogor in Indonesia, by taking data in show captivity. The results showed that salinity before feeding time in the show captivity with replication 1,2, and 3 has salinity value that is equal to 30 ‰. Data at the show captivity before feeding with replications 1,2, and 3 has a salinity of 29 ‰. Sound whistle 3 before feeding time of 28.03 dB with the frequency interval of 14 642 Hz-16000 Hz. F-test at the show captivity before meals has heterogeneous value. Treat before meals at the show captivity has a value of P <0.001 and P <0.001. Value Noisy Time Domain have differences with each other and have a lot of different sound patterns. In general, there are real differences are evidenced by F test on a range of time at each whistle on show captivity in the time before meals. The behavior of male bottle nose dolphin have a habit that has the movement toward the surface of the captivity and movement and position will be influenced frequency and intensity value (Meals time is done in the morning, afternoon, and afternoon with the difference before and after meals have a 4-hour interval). In general, there is a significant difference evidenced by the F test at 4-hour intervals at each whistle sound in captivity at both before meals.

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“…Modern methods of superresolution (so called subspace-based or eigenstructure methods) are related with Karhunen-Loève transforms and elements of the functional analysis, principal component analysis. Karhunen-Loève transformation is also widely used for dimension reduction in signal processing, pattern recognition [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…The performance degradation of the subspacebased methods can be explained by appearance of outliers in the parameter estimates in the practically important situations with small sample, signal-to-noise ratios and so on [1,2,[4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Performance of the parameter estimation by subspace-based methods can be improved by application of the group of the subspace-based methods with different characteristics (so called joint estimation strategy), subspace-based method with second-order and higher-order CM, resampling approaches (bootstrap, pseudo noise resampling, surrogate data technology), singular spectrum analysis (SSA) [4,[6][7][8][9][10]. The different levels of implementation of the concept of the outlier removing are known [6][7][8][9][10]. The process of elimination can be realized on the level of estimators (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Doa Estimation Based on Proximity of the Roots of Several Polynomials of Superresolution Methods

Vasylyshyn

2020

A.I.S.

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The purpose of this paper is to increase the efficiency of spectral analysis (i.e. to reduce the root mean square error (RMSE) of direction-of-arrival (DOA) estimation based on root similarity approach initially proposed by A. Gershman. The used methods are: spectral analysis methods, pattern recognition methods, digital statistical modeling methods. The following results were obtained. The root classification approach is used in the case of joint application of two types of data covariance matrix (standard covariance matrix (CM) and estimate of CM with Toeplitz structure). This approach removes the outliers (outlying roots) from preliminary DOA estimates (roots corresponding to the preliminary DOAs). The modification of initial root classification approach is proposed. It consists of avoiding averaging of DOA estimates obtained by estimator for the different CM at high signal-to-noise ratios (SNRs). This step for considered case allows to improve the performance of DOA estimation using the root classification approach. Simulation results are presented confirming the performance of proposed approach. Conclusions. The performance improvement of the subspace-based methods of spectral analysis can be attained by removing the outliers from the initial DOA estimates. The simultaneous application of classical second-order CM and estimate of structured CM gives two sets of DOA estimates (roots of polynomials). Root classification approach processes these sets and improves the performance of DOA estimation. The modification proposed in the paper gives the additional advantage at high SNR. The considered approach is also can be used together with other polynomial rooting methods of DOA estimation. K e ywor d s : Direction-of-arrival estimation; Karhunen-Loève transformation; spectral decomposition of correlation matrix; spectral analysis methods; pattern recognition.

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Signal processing correction in spectral analysis using the surrogate autocovariance observation functions obtained by the ATS-algorithm

Cited by 10 publications

References 13 publications

Signal detection for identification energy and behaviour of male dolphin bottle nose (Tursiopsaduncus) using NTD Model

Signal detection for identification energy and behaviour of male dolphin bottle nose (Tursiopsaduncus) using NTD Model

Whistle sound detection and behaviour of male dolphin bottle nose (Tursiops aduncus) using noisy time domain modelling in captivity

Doa Estimation Based on Proximity of the Roots of Several Polynomials of Superresolution Methods

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