Multiphase PWM Signal Generator Model Design for Effective Class D Amplifier

Volkov, I. A.; Priputin, V. S.; Liberman, E. A.

doi:10.1109/ieeeconf53456.2022.9744291

Cited by 3 publications

(1 citation statement)

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“…EMD is an adaptive signal decomposition technique [39][40][41] that extracts intrinsic mode functions by capitalizing on the time-scale characteristics of a signal, which adapt to frequency and amplitude variations of different signals. This method is applicable to the pre-processing of PACT.…”

Section: Empirical Mode Decompositionmentioning

confidence: 99%

End-to-End Algorithm Research in PACT—From Signal Processing to Reconstruction Solution to Image Processing

Liu,

Gao,

Cheng

et al. 2024

Preprint

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Photoacoustic computed tomography (PACT) is an innovative biomedical imaging technique that has gained significant application in the field of biomedicine due to its ability to visualize optical contrast with high resolution and deep tissue penetration. However, the inherent challenges associated with photoacoustic signal excitation, propagation and detection often result in suboptimal image quality. To overcome these limitations, researchers have developed various advanced algorithms that span the entire image reconstruction pipeline. This review paper aims to presents a detailed analysis of the latest advancements in PACT algorithms and synthesizes these algorithms into a coherent framework. We provide a tripartite analysis—from signal processing to reconstruction solution to image processing, covering a spectrum of techniques. The principles and methodologies, as well as their applicability and limitations, are thoroughly discussed. The primary objective of this study is to provide a thorough review of advanced algorithms applicable to PACT, offering both theoretical foundations and practical guidance for enhancing the imaging effect of PACT.

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Section: Empirical Mode Decompositionmentioning

confidence: 99%