Denoising of Pulsar Signal Using Wavelet Transform

Garvanov, Ivan; Iyinbor, Ruska; Garvanova, Magdalena; Geshev, Nikolay

doi:10.1109/elma.2019.8771495

Cited by 8 publications

(5 citation statements)

References 8 publications

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“…37 The wavelet transform denoising method has advantages over traditional Fourier transforms for accurately deconstructing and reconstructing finite, non-periodic, and non-stationary signals such as radar echo signals. 38 When processing noisy signal using WT, decompose, apply threshold, and signal regeneration are the three steps that must be performed , 39 and 40 gives the implementation steps.…”

Section: Stationary Clutter Suppression Stationary Clutter Suppressio...mentioning

confidence: 99%

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Wang

Weng

et al. 2023

J. Appl. Rem. Sens.

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.Impulse radio ultrawide band (IR-UWB) radar possesses several advantages, such as heat flow insensitivity, high resolution, great penetration, good mobility, and lightweight, making it a promising technology for detecting and rescuing individuals trapped in fire scenarios. However, reliable detection and extraction of vital signs of trapped people in the presence of complex fire environment, such as water droplets, smoke, wall occlusions, and reflections, require an optimal background clutter suppression scheme designed specifically for fire scenarios. This study comprehensively evaluates 20 background noise suppression schemes using an exhaustive approach that involves constructing radar echo simulation signals and designing an evaluation method for algorithms. The practical applicability of the improved design solutions was evaluated by conducting small-scale fire experiments in an acrylic chamber. The results indicate that the designed scheme is effective in overcoming the background interference from the combustion environment and is capable of supporting subsequent trajectory identification and vital sign extraction in the fire scene environment.

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Section: Stationary Clutter Suppression Stationary Clutter Suppressio...mentioning

confidence: 99%

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Wang

Weng

et al. 2023

J. Appl. Rem. Sens.

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show abstract

“…A visualização da transformada STFT geralmente é realizada por meio de seu espectrograma, que é um gráfico de intensidade da STFT (KEHTARNAVAZ, 2008). O uso do processamento baseado em transformada Wavelet (WT) pode resolver os problemas de detecção de falhas em sinais transiente durante a partida do motor de indução trifásico, onde as amplitudes e frequências variam e, um comportamento mais preciso da análise do sinal pode ser obtido (GARVANOV et al, 2019;SHAO et al 2014).…”

Section: Transformada De Fourier Versus Transformada De Waveletunclassified

“…Exemplos mais recentes sobre a aplicação de wavelets na detecção da condição de um motor de indução podem ser encontrados em (DEHINA et al, 2018;GARVANOV et al, 2019;BELKHOU et al, 2019). Onde: Para a transformada Wavelet discreta (DWT), a ideia principal é a mesma do caso da transformada contínua (CWT).…”

Section: Análise Por Transformada De Waveletunclassified

Inteligência Artificial Para Identificar O Uso De Máscara Na Prevenção Da Covid-19

Graças¹,

Oliveira²,

Brandao³

et al. 2021

Coleção Desafios Das Engenharias: Engenharia De Computação 2

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“…The modified kernel regression denoising method reported in [ 22 ] develops the second-order derivative compensation and reveals that a clear positive relationship between the TOA accuracy and the profile SNR does not exist. In [ 23 ], the wavelet analysis method using noise dispersion to determine the threshold value is applied to denoise the pulsar profile via the wavelet inverse transform. The denoising strategy based on biorthogonal lifting wavelet transforms (WT) reported in [ 17 ] studied the statistical properties of the X-ray background noise.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with those in [ 18 , 20 , 40 ], the prior knowledge of pulsar profiles is unnecessary for the proposed VMD-based pulsar denoising strategies. In comparison with wavelet analysis [ 17 , 23 , 24 ], the denoising algorithm in this paper removes the reliance on choosing perfect basis and threshold functions. The VMD-based design in this paper also allows for processing the original pulsar signals that contain nonstationary background noise derived from many sources without leading to mode mixing problems, like that of the EMD-based analysis in [ 9 , 28 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition

Chen

Zhao

Yan

2021

Entropy

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Pulsars, especially X-ray pulsars detectable for small-size detectors, are highly accurate natural clocks suggesting potential applications such as interplanetary navigation control. Due to various complex cosmic background noise, the original pulsar signals, namely photon sequences, observed by detectors have low signal-to-noise ratios (SNRs) that obstruct the practical uses. This paper presents the pulsar denoising strategy developed based on the variational mode decomposition (VMD) approach. It is actually the initial work of our interplanetary navigation control research. The original pulsar signals are decomposed into intrinsic mode functions (IMFs) via VMD, by which the Gaussian noise contaminating the pulsar signals can be attenuated because of the filtering effect during signal decomposition and reconstruction. Comparison experiments based on both simulation and HEASARC-archived X-ray pulsar signals are carried out to validate the effectiveness of the proposed pulsar denoising strategy.

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Denoising of Pulsar Signal Using Wavelet Transform

Cited by 8 publications

References 8 publications

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Inteligência Artificial Para Identificar O Uso De Máscara Na Prevenção Da Covid-19

X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition

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