Wavelet analysis is a relatively new tool for data analysis and signal processing. Similar to Fourier analysis, wavelet analysis identifies dominant periods or scales in one-dimensional and ...

Ingrid Daubechies, a prominent mathematician whose pioneering work on wavelets is the foundation for various consumer products and GNSS applications, has received a $1.5 million grant from the Simons ...

In an increasingly data-driven world, mathematical tools known as wavelets have become an indispensable way to analyze and understand information. Many researchers receive their data in the form of ...

Symmetric wavelet frames represent a powerful class of mathematical tools designed for efficient and robust representation of high-dimensional data. They combine the inherent benefits of wavelet ...

This series is excerpted from “Digital Signal Processingand Applications, 2nd Edition.” Order this book today at www.newnespress.comor by calling 1-800-545-2522 and receive a 20% discount! Use ...

Wavelet analysis is considered a state-of-the-art technique in signal processing; it transforms the signal into a scale-time representation (scalogram) with high resolution, preserving the temporal ...

Shortwave rail defects, often less than a meter long, can cause serious problems on high-speed railway networks. These local shortwave irregularities intensify vibrations between wheels, tracks, and ...

Mathematical transforms can be a great help in understanding signals. Imaging trying to look at a complex waveform and figuring out the frequency components without the Fourier transform. [Artem ...

Journal of Economic Integration, Vol. 34, No. 2 (June 2019), pp. 370-394 (25 pages) This is a study on the integration between the six largest African stock markets at different timescales. The study ...