Initialization for decoder-based filter calibration

摘要

Various embodiments of the present inventions are related to initialization of decoder-based filter calibration, and in particular to initially using either a detector output or unconverged data from the decoder to train filter coefficients in a noise predictive calibration engine until data sectors converge in the decoder and can be used to train filter coefficients.