A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
Abstract: A new approach to the analytical implementation of the Rosenblatt transformation is described. It leverages the properties of the empirical probability density function, which is the ...
Non-invasive heart rate and blood pressure monitoring via facial images and video might soon be possible thanks to the development of pioneering signal-processing technologies. Researchers are ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Multi-Object Tracking (MOT) plays a crucial role in autonomous driving systems, as it lays the foundations for advanced perception and precise path planning modules. Nonetheless, single ...
DSP-SIMD is an open source toolkit designed for efficient Digital Signal Processing using SIMD (Single Instruction, Multiple Data) techniques. This toolkit aims to provide high-performance, reusable ...
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