Systems and methods for adaptive write pre-compensation

A system for determining write pre-compensation values, the system comprising:

• a storage medium, wherein a data set is stored on the storage medium;
• a pre-compensation value calculation circuit, wherein the pre-compensation value calculation circuit includes:
• an equalizer circuit operable to equalize the data set and to provide an equalized output;
• a buffer, wherein the buffer stores a buffered output representing the data set;
• an equalized channel model circuit, wherein the equalized channel model circuit is operable to provide an equalized channel response corresponding to a sum of a bit response of the buffered output and a combination of a current non-linear transition shift value and an impulse response of a transition in the data set;
• and
• an adaptive non-linear transition shift estimation circuit, wherein the adaptive non-linear transition shift estimation circuit provides a subsequent non-linear transition shift value based in part on the equalized channel response and a portion of the equalized output, wherein the adaptive non-linear transition shift estimation circuit is implemented using a processor associated with a memory device, and wherein the memory device includes instructions in a non-transitory phase that are executable by the processor to calculate the subsequent non-linear transition shift value.

A system for determining write pre-compensation values, the system comprising:

• a storage medium, wherein a data set is stored on the storage medium;
• a converter circuit operable to converter the data set into a series of data samples;
• a pre-compensation value calculation circuit, wherein the pre-compensation value calculation circuit is operable to:
• receive the series of data samples;
• identify a first preceding pattern and a first transition status in the series of data samples;
• determine a first current non-linear transition shift value based at least in part on the first preceding pattern, the first transition status, and a first previous non-linear transition shift value;
• identify a second preceding pattern and a second transition status in the series of data samples, wherein a combination of the second preceding pattern and the second transition status is distinct from a combination of the first preceding pattern and the first transition status;
• and
• calculate a second current non-linear transition shift value based at least in part on the second preceding pattern, the second transition status, and a second previous non-linear transition shift value.