Super-resolution spectral analysis and signal reconstruction of magnetic Barkhausen noise

• The power spectrum density of magnetic Barkhausen noise was analyzed based on autoregressive model.
• The low frequency signal components decrease as hardness increases, and increase as tensile stress increases.
• The high frequency signal components increase as hardness increases, and decrease as tensile stress increases.
• The magnetic Barkhausen signal was reconstructed by discrete Gabor expansion which removes unneeded signal components.

An investigation was performed based on frequency domain analysis and reconstruction for the magnetic Barkhausen noise (MBN). The power spectrum density (PSD) of MBN was analyzed based on autoregressive (AR) model. The relations between PSD peaks and mechanical properties of high strength steel sheet were studied. The energy of low frequency signal components decreases as hardness increases, and increases as tensile stress increases. The energy of high frequency signal components increases as hardness increases, and decreases as tensile stress increases. After identification, the MBN signal was reconstructed by discrete Gabor expansion which remains desired signal components and removes undesired ones.