Unlock richer audio from your streaming apps with simple tweaks to volume normalization, equalizer settings, and quality ...

Abstract: We proposed a novel wavelet threshold denoising method based on the discrete wavelet transform for noisy microseismic recordings. This algorithm can simultaneously suppress both the high- ...

Abstract: A new image feature description based on the local wavelet pattern (LWP) is proposed in this paper to characterize the medical computer tomography (CT) images for content-based CT image ...

In an era where data is heralded as the ‘new oil’, businesses and institutions are tirelessly seeking innovative ways to harness its power. Enter the concept of the Data Hub – a centralised, ...

1 Key Laboratory of Earth Exploration and Information Techniques, Chengdu University of Technology, Ministry of Education, Chengdu, China 2 Chengdu University of Technology, Chengdu, China ...

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 ...

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 ...

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, ...

The mathematician Ingrid Daubechies’ pioneering work in signal processing helped make our electronic world possible — and beat a path for women in the field. Ingrid Daubechies.Credit...Jeremy M. Lange ...

This paper presents a unique approach for wavelet-based MRI brain image de-noising. Adaptive soft and hard threshold functions are first proposed to improve the results of standard soft and hard ...