Abstract: A method and apparatus are provided for determining a plurality of filter tap weights or biases (or both) for a noise predictive filter used to generate one or more signal dependent branch metrics. A filter tap weight or filter bias (or both) are adaptively accumulated for each possible data condition. The data conditions may comprise, for example, each possible data pattern for a given data dependency length. The appropriate accumulated filter tap weight or bias to update can be selected based on a data condition associated with the current received data. The filter tap weights associated with a delay 0 tap can be adapted for each filter condition except for a single normalizing condition, whose corresponding delay 0 tap remains fixed.

Abstract: A data storage drive comprises a storage disk, a read/write head, and signal processing circuitry in signal communication with the read/write head. The read/write head is operative to read data from and write data to the storage disk at a plurality of data transfer rates. Moreover, the signal processing circuitry is powered by a variable power source. The variable power source varies supply voltage to the signal processing circuitry as a function of a current one of the data transfer rates of the read/write head. Power consumption is reduced in this manner.

Abstract: A data storage drive comprises a storage disk, a read/write head, and signal processing circuitry in signal communication with the read/write head. The read/write head is operative to read data from and write data to the storage disk at a plurality of data transfer rates. Moreover, the signal processing circuitry is powered by a variable power source. The variable power source vanes supply voltage to the signal processing circuitry as a function of a current one of the data transfer rates of the read/wine head. Power consumption is reduced in this manner.

Abstract: A method and apparatus are provided for determining a plurality of filter tap weights or biases (or both) for a noise predictive filter used to generate one or more signal dependent branch metrics. A filter tap weight or filter bias (or both) are adaptively accumulated for each possible data condition. The data conditions may comprise, for example, each possible data pattern for a given data dependency length. The appropriate accumulated filter tap weight or bias to update can be selected based on a data condition associated with the current received data. The filter tap weights associated with a delay 0 tap can be adapted for each filter condition except for a single normalizing condition, whose corresponding delay 0 tap remains fixed.