Numerical Simulation and Characteristic Analysis of Music Based on Nonlinear Equations

Abstract

Many small and interactive subsystems in music creation are produced continuously in development and evolution. This paper uses the nonlinear equation statistical method for audio classification, and its principle and implementation mechanism are perfect. This method has been widely used in many audio categories. On this basis, the application of the KLR algorithm in the audio classification system is further studied. Then, this mode is applied to the audio division of similar Musical Instruments. Finally, this paper will collect the violin and cello music signal simulation experiment. Then the nonlinear equation is compared with classical Logistic regression and SVM. The results show that this method has better advantages in classification and processing.

Keywords

• nonlinear equation
• audio classification
• feature extraction
• music
• numerical simulation
• 62j02