We present a method of data reduction using a wavelet transform in discriminant analysis when the number of variables is much greater than the number of observations. The method is illustrated with a ...

Wavelet analysis is a signal and image processing technique that can be used to characterize variations within the signal or image. In this work, we employ wavelet analysis on LIDAR reflectivity data ...

Built upon the ubiquitous Fourier transform, the mathematical tools known as wavelets allow unprecedented analysis and understanding of continuous signals. In an increasingly data-driven world, ...

K. Nowak, B. Rajagopalan and E. Zagona (2011). “Wavelet Auto-Regressive Method (WARM) for multi-site streamflow simulation of data with non-stationary spectra,” Journal of Hydrology, 410 (1-2) 1–12.

ABSTRACT The easiest way to identify knock conditions during the operation of a SI engine is represented by the knowledge of the in-cylinder pressure. Traditional techniques like MAPO (Maximum ...

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 ...