Modeling auditory system nonlinearities through Volterra series
Copyright policy )Modeling auditory system nonlinearities through Volterra series
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
- National Research Council Romania
- National Research Council Italy
- International School for Advanced Studies Italy
- University of Padua Italy
Numerical analysis in abstract spaces, Computer Science; computational method; Auditory System modeling; Speech Recognition., Physiological, cellular and medical topics, nonlinear oscillator model, Series expansions (e.g., Taylor, Lidstone series, but not Fourier series), AUDITORY SYSTEM; NONLINEAR MODEL; VOLTERRA SERIES; SPEECH RECOGNITION, Numerical methods for initial value problems involving ordinary differential equations, Auditory System modeling, speech recognition problems, Computational methods for problems pertaining to biology, Volterra functional series
Numerical analysis in abstract spaces, Computer Science; computational method; Auditory System modeling; Speech Recognition., Physiological, cellular and medical topics, nonlinear oscillator model, Series expansions (e.g., Taylor, Lidstone series, but not Fourier series), AUDITORY SYSTEM; NONLINEAR MODEL; VOLTERRA SERIES; SPEECH RECOGNITION, Numerical methods for initial value problems involving ordinary differential equations, Auditory System modeling, speech recognition problems, Computational methods for problems pertaining to biology, Volterra functional series
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!