Abstract: Density estimation is a fundamental task in statistics and machine learning that aims to estimate, from a set of samples, the probability density function of the distribution that generated ...
Abstract: This paper presents the first time-interleaved analog-to-digital background calibration targeted for multilevel modulations that can calibrate offset, gain, time skew and bandwidth ...
Aim: To verify the effects of a multimodal exercise program on balance and motor functions, and the differences by sex, in people with Parkinson's disease (PD). Methods: The intervention study, was ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results