SCSA based MATLAB pre-processing toolbox for 1H MR spectroscopic water suppression and denoising

Specialty section: This article was submitted to Striated Muscle Physiology, a section of the journal Frontiers in Physiology Received: 03 February 2021 Accepted: 09 March

To demonstrate that our method is suitable with respect to classification, i.e., to demonstrate that Sp-RST performs its feature selection task well without sacrificing performance,

In the prototyping platform context the design flow consists in mapping the functional architecture (interconnected algorithmic functions, e.g. C/C++, Matlab or Ptolemy

Whereas classical signal processing relies on well founded mathematical properties of Euclidean spaces, we here rely on the algebraic properties of graphs and the deriva- tion of

This paper describes the latest developments for the continuous-time system identification (CONTSID) tool- box for MATLAB r , which supports continuous-time (CT) transfer function

A dynamic and extendable simulation model was proposed for the validation of MAS-based CPS data acquisition and pre-processing solutions to be applied in the

Codes were run on a Windows computer with a 64-bit op- erating system, Intel Xeon(R) E5-1650 v4 3.60 GHz CPU and 128 GB RAM. We provide in table II algorithm computation times

traffic has already been used as a preprocessing tool to prepare data for data analytics (Schäfer et al., 2019) and machine learning methods (Olive & Bieber, 2018, Olive,