A Music Curriculum Integration and Reconstruction Model Based on Advanced Iterative Reconstruction Algorithm

Music curriculum fusion and super-resolution reconstruction based on musical elements have gradually attracted the attention of researchers. The traditional music element algorithm is all pixel information source element, which has problem high time space complexity. Based advanced iterative theory, this paper uses measurement matrix to measure dimensionality signal, compresses data while acquiring elements, reduces sampling frequency, amount data, greatly data. It solves spatial resolution reduction caused by degradation feature extraction, classification, identification can obtain more features detailed parameters. Aiming at back-projection symbol filtering, filtering a triangular line array simulated. experimental results show that feasibility analysis factor scheme reaches 0.917, running reduced 0.131 s, promotes large in reconstruction.