Analysis of the application of college popular music education relying on the elite teaching optimization algorithm

This paper presents a novel approach to enhancing college popular music education by incorporating an elite teaching optimization algorithm into a customized model. A key feature of the proposed model is the utilization of a high-fidelity wideband audio coding algorithm, which employs a time-frequency analysis module based on the MDCT fast algorithm to reduce storage requirements. The psychoacoustic analysis module takes advantage of the high frequency domain resolution of FFT and accounts for differences between MDCT and DFT by calculating masking curves separately. The proposed model is evaluated using the elite teaching optimization algorithm, and results demonstrate that it effectively improves the effectiveness of college popular music education.