Noise Separation from the Weak Signal Chaotic Detection System
Noise Separation from the Weak Signal Chaotic Detection System is a scholarly work, published in 2015 in ''Journal of Engineering Science and Technology Review''. The main subjects of the publication include wavelet, Second generation wavelet transform, harmonic wavelet transform, Chaotic, discrete wavelet transform, algorithm, artificial neural network, wavelet transform, chaos theory, Stationary wavelet transform, econophysics, mathematics, fast wavelet transform, and computer science. The traditional weak signal chaotic detection system still restricts some technical issues in the situation of the signal with noise, such as poor denoising ability and low detection precision.In this paper, authors propose a novel weak signal chaotic detection system based on an improved wavelet transform algorithm.First, the traditional wavelet transform algorithm domain variables have been transformed and discretized to eliminate the redundant transform.Then, based on the discrete optimization, the wavelet coefficients have been optimized by threshold compromise strategy.The improved wavelet transform algorithm is applied in the weak signal chaotic detection system.The noise signal after finite discrete processing is treated as a perturbation of cycle power and put into a chaotic system for detecting weak signal under the noise conditions.The simulation experiments show that the proposed improved wavelet transform algorithm has a better denoising effect than the traditional wavelet transform algorithm.Moreover, the improved algorithm shows better accuracy and higher robustness in the weak signal chaotic detection system.