Robust identification of the cancer biomarker phosphocholine through partitioned envelopes in noisy magnetic resonance spectroscopic data by the non-parametric fast Padé transform
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mathematical Chemistry"
DOI: 10.1007/s10910-017-0807-z
Abstract: The recently introduced concept of envelope partitioning for shape estimation within the fast Padé transform (FPT) is presently further explored and solidified. Earlier, noise-free time signals were used and the results were reported for a… read more here.
Keywords: time signals; partitioned envelopes; magnetic resonance; time ... See more keywords
Explicit extraction of absorption peak positions, widths and heights using higher order derivatives of total shape spectra by nonparametric processing of time signals as complex damped multi-exponentials
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Mathematical Chemistry"
DOI: 10.1007/s10910-017-0852-7
Abstract: Sole lineshape estimation of non-parametrically computed higher-order derivatives of spectral envelopes in different modes (complex, real, imaginary, magnitude) is investigated. The processed time signals are sums of complex attenuated exponentials (harmonics). The peak parameters of… read more here.
Keywords: time signals; widths heights; shape spectra; total shape ... See more keywords
Algorithms of Processing of Space-Time Signals in a Multibeam Radar during Detection and Evaluation of Parameters of Low-Observable Aerial Targets
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Communications Technology and Electronics"
DOI: 10.1134/s1064226918060025
Abstract: The optimal and quasi-optimal algorithms of processing of space-time signals in a multibeam radar system intended for detection and measurement of parameters of low-observable air targets of unmanned aerial vehicles (UAVs) are considered. Algorithms for… read more here.
Keywords: time signals; detection; space time; time ... See more keywords
Estimation of Complexity of Sampled Biomedical Continuous Time Signals Using Approximate Entropy
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DOI: 10.3389/fphys.2018.00710
Abstract: Non-linear analysis found many applications in biomedicine. Approximate entropy (ApEn) is a popular index of complexity often applied to biomedical data, as it provides quite stable indications when processing short and noisy epochs. However, ApEn… read more here.
Keywords: time signals; estimation complexity; complexity; approximate entropy ... See more keywords