In order to collect electromagnetic emission（ EME） signals more accurately in EME characteristics study of composed coal-rock loaded deformation and fracture

propose a new EME signal denoising algorithm combined adaptive ensemble empirical mode decomposition（ AEEMD） and with improved wavelet threshold（ IWT）

the new algorithm makes up for the deficiencies that traditional wavelet denoising to wavelet bases. Make denoising simulation on noisy signals of Bumps and Quadchirp using EMD-IWT algorithm which combined IWT algorithm with empirical mode decomposition（ EMD） and using AEEMD-IWT algorithm which combined AEEMD with IWT. Three kinds of denoising algorithms is embedded into a new EME acquisition system developed independently

collect EME signals from composed coal-rock loaded deformation and fracture and then denoise

the simulation and experiment results prove that AEEMD-IWT algorithm has excellent denoising performance

extensive application area and good practicality.