Abstract
A new methodology for processing a grossly undersampled hard disk drive (HDD) position error signal (PES) is proposed to improve the head-disk contact detection process. The proposed method is a combination of compressive sampling (CS) and adaptive discrete wavelet transform (ADWT) techniques. Here, CS is employed to reconstruct the PES information from very few revolutions of data sampled with the HDD servo system while ADWT is utilized for extracting head-disk interface (HDI) modulation changes during thermal protrusion of the read/write element. An example of HDD level signal processing is provided where CS synthesized PES is processed using a discrete wavelet transform embedded into an entropy minimization and statistical characterization framework.
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