The denoising of laser exploration system based on wavelet multiresolution analysis

According to the characteristic of noise in the laser exploration system, threshold circuit is often utilized in traditional method, but the thresholds which are adopted in this kind of algorithm are not adaptive. When the circuit is confirmed, the threshold is also confirmed, so the algorithm can not adapt the requirement of detecting weak signal in high noise. This paper analyses how to choose the threshold of denoising based on noise features in laser exploration system, and also analyses alterable MRA threshold method in details. The algorithm which is adopted in this paper solve the problem of how to filter the noise whilst to keep the details of the signal. The result shows that the new algorithm has better effect.