Multicomponent quantitative analysis using second-order nonbilinear data: theory and simulations

1989 ◽  
Vol 111 (11) ◽  
pp. 3797-3804 ◽  
Author(s):  
Bruce E. Wilson ◽  
Walter Lindberg ◽  
Bruce R. Kowalski
2016 ◽  
Vol 8 (4) ◽  
pp. 747-755 ◽  
Author(s):  
Hai-Yan Fu ◽  
He-Dong Li ◽  
Bing Wang ◽  
Jun-Lan Cai ◽  
Jun-Wei Guo ◽  
...  

A new strategy was developed for quantitative analysis of acid metabolites in plant samples.


Author(s):  
Dafydd Gibbon

The low frequency (LF) spectral analysis or ‘rhythm spectrum’ approach to the quantitative analysis and comparison of speech rhythms is extended beyond syllable or word rhythms to ‘rhetorical rhythms’ in read-aloud narratives, in a selection of exploratory scenarios, with the aim of developing a unified theory of speech rhythms. Current methodologies in the field are first discussed, then the choice of data is motivated and the modulation-theoretic rhythm spectrum and rhythm spectrogram approach is applied to the amplitude modulation (AM) and frequency modulation (FM) of speech. New concepts of rhythm formant, rhythm spectrogram and rhythm formant trajectory are introduced in the Rhythm Formant Theory (RFT) framework with its associated methodology Rhythm Formant Analysis (RFA) in order to capture second order regularities in the temporal variation of rhythms. The interaction of AM and FM rhythm factors is explored, contrasting English with Mandarin Chinese. The LF rhythm spectrogram is introduced in order to recover temporal information about long-term rhythms, and to investigate the configurative function of rhythm. The trajectory of highest magnitude frequencies through the component spectra of the LF spectrogram is extracted and applied in classifying readings in different languages and individual speaking styles using distance-based hierarchical clustering, and the existence of long-term second order ‘rhythms of rhythm’ in long narratives is shown. In the conclusion, pointers are given to the extension of this exploratory RFT rhythm approach for future quantitative confirmatory investigations.


2009 ◽  
Vol 25 (10) ◽  
pp. 1231-1236 ◽  
Author(s):  
Shu-Fang LI ◽  
Hai-Long WU ◽  
A-Lin XIA ◽  
Shao-Hua ZHU ◽  
Jin-Fang NIE ◽  
...  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 115574-115582 ◽  
Author(s):  
Yan Wei ◽  
Zhen-Qi Hua ◽  
Bao Wang ◽  
Zeng-Xing Liu ◽  
Hao Xiong ◽  
...  

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