Computer-guided Design of Effective Guidance Platform for Music Appreciation based on Mixed-Frequency Signal Recognition Algorithm

Computer-guided design of effective guidance platform for music appreciation based on mixed-frequency signal recognition algorithm is studied in this paper. Based on the small parameter stochastic resonance principle of bistable system, this paper uses the normalization transformation to detect and extract the weak signal mixed with large and small frequencies from the high noise background at the same time. By selecting the appropriate normalization transformation factor, the limitation of the frequency of the signal to be measured in the stochastic resonance system is eliminated, and the frequency signal that does not meet the conditions of stochastic resonance is converted into the qualified small parameter signal. With these theoretical basis, this study design the novel mixed-frequency signal recognition algorithm. Then, the model is applied to the effective guidance platform for music appreciation. With the experiment analysis, the performance is then validated.