Spiking High-Dimensional Information Coding Based on Wavelet Decomposition Technique

This paper studies the Spiking high-dimensional information coding method based on wavelet decomposition technology. Firstly, the wavelet decomposition technique is used to extract the multi-scale features of the input signal to capture the time-frequency characteristics of the signal. Subsequently, the extracted features are mapped to the pulse sequence of the Spiking neural network to achieve efficient coding of highdimensional information. In this paper, the influence of wavelet decomposition parameters on coding performance is analyzed, and the advantages of the proposed method in processing highdimensional data are verified by experiments. The experimental results show that the proposed method can significantly reduce the data dimension and computational complexity while maintaining the accuracy of information, which provides a new effective way for high-dimensional information processing.