Wavelet denoising, pattern recognition and correlation analysis of toad´s neural signals

In order to determine the temporal points of action potentials in the neural signals and the correlation between neural signals, and to form an interface with the hardware system, a series of methods for signal denoising, pattern recognition, correlation analysis and primary signal coding are accepted. A set of toad´s neural signals are used as the experimental object. The results show that in combination with the wavelet technique, the method of pattern recognition is effective when non-stationary neural signals are processed, the correlation analysis could describe the relationship between signals,and signal coding could initially form a communication interface with the hardware system.