A study on Improvisation in a Musical performance using Multifractal Detrended Cross Correlation Analysis
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DOI: 10.1016/j.physa.2016.06.013
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Cited by:
- Banerjee, Archi & Sanyal, Shankha & Roy, Souparno & Nag, Sayan & Sengupta, Ranjan & Ghosh, Dipak, 2021. "A novel study on perception–cognition scenario in music using deterministic and non-deterministic approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
- Schadner, Wolfgang, 2022. "U.S. Politics from a multifractal perspective," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
- Gündüz, Güngör, 2023. "Entropy, energy, and instability in music," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
- McDonough, John & Herczyński, Andrzej, 2023. "Fractal patterns in music," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
- Nag, Sayan & Basu, Medha & Sanyal, Shankha & Banerjee, Archi & Ghosh, Dipak, 2022. "On the application of deep learning and multifractal techniques to classify emotions and instruments using Indian Classical Music," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
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Keywords
Hindustani Raga music; Hurst exponent; MFDFA; MFDXA; Musical improvisation;All these keywords.
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