Abstract
Data analysis is the elemental pursuits in scientific modern research, but the accessibility of inspection techniques downgrades it to data processing. Hilbert–Huang transform is perhaps the most notable development during last decade. HHT is physically based on the development of instantaneous frequency whose idea is relevant to non-stationary and nonlinear signals. Complexification of the signal by means of the Hilbert transform to portray the signal as far as the regulated amplitude and the related instantaneous frequencies that seem to speak to both entomb waves and intrawaves. Hilbert–Huang transform is used in the field of biomedicine, chemistry, financial, ocean engineering, speech processing, astro-particle physics, detection and localization of damage, error detection in analog and mixed-signal circuits, analysis of the landslides, temperature, environmental time series, and masking signals. But traditional EMD method has scope for improvement in mode-mixing problem and illusive IMF components. Variants of HHT are used to avoid these problems.
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Krishnan, M.A., Samiappan, D. (2018). Hilbert–Huang Transform and Its Variants in Engineering Data Analytics: State of the Art and Research Challenges. In: Saini, H., Singh, R., Reddy, K. (eds) Innovations in Electronics and Communication Engineering . Lecture Notes in Networks and Systems, vol 7. Springer, Singapore. https://doi.org/10.1007/978-981-10-3812-9_16
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DOI: https://doi.org/10.1007/978-981-10-3812-9_16
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