RPSOVF Prediction Model for Speech Signal Series Based on UPSO

DOI10.1142/S0218127419500755zbMath1419.94019OpenAlexW2954195205WikidataQ127594885 ScholiaQ127594885MaRDI QIDQ5225788

Xia Wu, Suzhen Shi, Yumei Zhang, Xiang Ying Guo, Xiao-Jun Wu

Publication date: 23 July 2019

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127419500755

zbMATH Keywords

chaosspeech signalUPSO algorithmVolterra prediction model

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Enhancement of chinese speech based on nonlinear dynamics
• Practical method for determining the minimum embedding dimension of a scalar time series
• A practical method for calculating largest Lyapunov exponents from small data sets
• Nonlinear Programming
• Variational, Geometric, and Level Set Methods in Computer Vision
• Distribution of mutual information

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