The present technology relates to a signal processing device, a signal processing method, and a program capable of improving noise resistance in high linear density recording.

Partial response (PR) equalization of a reproduced signal of multilevel codes of 3<=ML is performed and maximum likelihood decoding of an equalized signal obtained through the PR equalization is performed. The present technology can be applied to, for example, a recording/reproducing device or the like such as an optical disc.

According to one embodiment, a magnetic reproducing and processing device includes an acquirer and a processor. The acquirer is configured to acquire a first electric signal obtained by reproducing information recorded in a first recording area of a magnetic recording medium by a first reproducing element and a second electric signal obtained by reproducing the information recorded in the first recording area by a second reproducing element. A first sensitivity of the first reproducing element to a magnetic signal recorded on the magnetic recording medium is different from a second sensitivity of the second reproducing element to the magnetic signal. The processor is configured to output a reproduced signal corresponding to the information recorded in the first recording area based on the first electric signal and the second electric signal acquired by the acquirer.

Data detection capability is improved by whitening crosstalk noise from an equalization signal and detecting binary data. Each of a plurality of detection signals is input to one of a plurality of adaptive equalizers, and outputs of the plurality of adaptive equalizers are computed to obtain an equalization signal for returning light at the time of shining of light onto bounds including a target track subject to data detection and adjacent tracks of an optical recording medium having a plurality of tracks formed thereon. Crosstalk noise from the adjacent tracks included in the equalization signal obtained by this multi-input adaptive equalization process is whitened first, followed by a binarization process. Also, an equalization error is found, and supplied as a control signal for adaptive equalization. Further, a whitening factor updating process is also performed to adaptively update a filter factor of a whitening filter.

In one embodiment, a system for processing data includes a processor and logic integrated with and/or executable by the processor. The logic is configured to detect and track positive peak amplitudes and negative peak amplitudes of a readback waveform during data reading using a tracking threshold module, and to detect and track positive peak amplitudes and negative peak amplitudes of the readback waveform during the data reading at an input to an equalizer using a second tracking threshold module in response to reading a data set separator (DSS). Moreover, the logic is configured to perform asymmetry compensation on the data using an asymmetry compensator in an asymmetry compensation loop based on input from the tracking threshold module when not reading a DSS and based on input from the second tracking threshold module when reading a DSS, an output of the asymmetry compensator being provided to the equalizer.

Technology for improved data detection using machine learning may include a method in which an analog read signal comprising data read from a non-transitory storage medium of the data storage device is received. The analog read signal is processed into a plurality of digital samples. A digital sample from the plurality of digital samples is classified into a category from a plurality of categories using a machine learning algorithm for at least some of the plurality of digital samples. The plurality of digital samples is then decoded based on at least some of the predicted categories.

Systems and methods are disclosed for full utilization of a data path's dynamic range. In certain embodiments, an apparatus may comprise a circuit including a first filter to digitally filter and output a first signal, a second filter to digitally filter and output a second signal, a summing node, and a first adaptation circuit. The summing node combine the first signal and the second signal to generate a combined signal at a summing node output. The first adaptation circuit may be configured to receive the combined signal, and filter the first signal and the second signal to set a dynamic amplitude range of the combined signal at the summing node output by modifying a first coefficient of the first filter and a second coefficient of the second filter based on the combined signal.

Technology for improved data detection using machine learning may include a method in which an analog read signal comprising data read from a non-transitory storage medium of the data storage device is received. The analog read signal is processed into a plurality of digital samples. A digital sample from the plurality of digital samples is classified into a category from a plurality of categories using a machine learning algorithm for at least some of the plurality of digital samples. The plurality of digital samples is then decoded based on at least some of the predicted categories.

There is provided a signal processing device, a signal processing method, and a program capable of improving noise resistance in high linear density recording. Partial response (PR) equalization of a reproduced signal of multilevel codes of 3<=ML is performed and maximum likelihood decoding of an equalized signal obtained through the PR equalization is performed. The present technology can be applied to, for example, a recording/reproducing device or the like such as an optical disc.

According to one embodiment, a magnetic reproducing and processing device includes an acquirer and a processor. The acquirer is configured to acquire a first electric signal obtained by reproducing information recorded in a first recording area of a magnetic recording medium by a first reproducing element and a second electric signal obtained by reproducing the information recorded in the first recording area by a second reproducing element. A first sensitivity of the first reproducing element to a magnetic signal recorded on the magnetic recording medium is different from a second sensitivity of the second reproducing element to the magnetic signal. The processor is configured to output a reproduced signal corresponding to the information recorded in the first recording area based on the first electric signal and the second electric signal acquired by the acquirer.

Deterioration of convergence performance or operational stability due to an increase in constraint length is suppressed when coefficients are updated, so that decoding performance is improved. A decoding device according to the present technology includes an adaptive equalization unit that performs adaptive equalization, an adaptive maximum likelihood decoding unit that causes an identification point of maximum likelihood decoding to adaptively follow a characteristic of an input signal, a target waveform generation unit that, by convoluting a partial response coefficient into a decoded value, generates an equalization target waveform of the adaptive equalization which is performed by the adaptive equalization unit, an error signal generation unit that generates, as an equalization error signal, an error signal between the equalization target waveform and an equalized signal, and a coefficient updating unit that, through least-square-method computation for minimizing a correlation between the decoded value and the equalization error signal, updates the partial response coefficient which is used by the target waveform generation unit to generate the equalization target waveform.