Abstract
Many of the ideas behind wavelets have been in existence for a long time. However, wavelet analysis as we now know it really began in the mid-1980s, when it was developed to interrogate seismic signals. The wavelet has emerged as a powerful tool from time–frequency analysis (discussed in Sect. 2.3) to signal processing. The tools of signal processing can also be used for the investigation of biosignals (e.g., electrocardiogram (ECG), heart rate variability (HRV), etc.) which takes its applications to medical science. There are already good books on signal processing [1, 2]. Interest in wavelet analysis remained within a small, mainly mathematical community during the rest of the 1980s. The different applications of wavelets in science and engineering really began to take off at the beginning of the 1990s.
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Mehra, M. (2018). Other Useful Applications of Wavelet. In: Wavelets Theory and Its Applications. Forum for Interdisciplinary Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-13-2595-3_11
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