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Deep learning for vibrational spectral analysis: Recent progress and a practical guide.
Analytica Chimica Acta, 2019The development of chemometrics aims to provide an effective analysis approach for data generated by advanced analytical instruments. The success of existing analytical approaches in spectral analysis still relies on preprocessing and feature selection ...
Jie Yang +5 more
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DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis.
Analytica Chimica Acta, 2019Learning patterns from spectra is critical for the development of chemometric analysis of spectroscopic data. Conventional two-stage calibration approaches consist of data preprocessing and modeling analysis.
Xiaolei Zhang +4 more
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SIAM Review, 1981
In this paper we review recent work on the stochastic approach of Walsh spectral analysis. We are mainly interested in the properties of the finite Walsh transform, which in turn allow us to derive...
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In this paper we review recent work on the stochastic approach of Walsh spectral analysis. We are mainly interested in the properties of the finite Walsh transform, which in turn allow us to derive...
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2001
Abstract Many pulse EPR experiments are performed by directly or indirectly detecting the free evolution of coherence. The resulting time-domain data contain information on the transition frequencies as we have seen in §§2.2 and 4.2.3. In this chapter we explain how a spectrum is obtained from such time-domain data by FT. For the case of
Arthur Schweiger, Gunnar Jeschke
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Abstract Many pulse EPR experiments are performed by directly or indirectly detecting the free evolution of coherence. The resulting time-domain data contain information on the transition frequencies as we have seen in §§2.2 and 4.2.3. In this chapter we explain how a spectrum is obtained from such time-domain data by FT. For the case of
Arthur Schweiger, Gunnar Jeschke
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1990
Abstract In Section 2.7 we introduced the periodogram as a way of representing the variability in a time series in terms of harmonic components at various frequencies. We defined the periodogram ordinate at a particular frequency w to be proportional to the squared amplitude of the corresponding cosine wave, α cos(ω t)+ β sin( ω t ...
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Abstract In Section 2.7 we introduced the periodogram as a way of representing the variability in a time series in terms of harmonic components at various frequencies. We defined the periodogram ordinate at a particular frequency w to be proportional to the squared amplitude of the corresponding cosine wave, α cos(ω t)+ β sin( ω t ...
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Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics
International Journal of Innovative Science and Research TechnologySpeech is essential to human communication for expressing and understanding feelings. Emotional speech processing has challenges with expert data sampling, dataset organization, and computational complexity in large-scale analysis.
Zewar Shah, Shan Zhiyong, Adnan
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