Characteristics of the data storage channel including methods for channel identification and channel modeling.

Media noise characterization and modeling.

Strategies for mitigating nonlinear effects in data storage channels including write precompensation and read nonlinearity correction.

Detection methods, including sequence detection, partial response and decision feedback.

Modulation codes, including and run-length limited codes.

Distance enhancing codes for data storage including codes suitable for iterative decoding.

Error-correcting codes, trellis coding and turbo codes.

Systems of concatenated codes including efficient methods for concatenating modulation codes, distance enhancing codes and error control codes.

Combined equalization and coding.

Equalization, filtering and detection, including methods applicable to channels with data-dependent noise and nonlineariteis.

Circuit designs for read/write channel electronics and coding / detection algorithms, including ASIC design and FPGA implementations.

Architectures for iterative decoding on data storage channels including soft-input soft-output detectors.

Timing recovery, gain recovery and DC restore loops.

Detection, signal processing and coding of servo information.

Coding bounds, density, and channel capacity.

Data compression for digital storage, including audio and video.

Multiple-head systems.

Signal processing for optical storage systems.

Signal processing and coding for emerging data storage technologies, including holographic recording, probe storage and multi-level optical recording.

Cost versus performance issues surrounding design of signal processing systems for storage

Hard decision error control codes for storage including coding for disk arrays.

Special issues surrounding signal processing and coding for removable storage devices.

Servo design and processing strategies.

Controllers for data storage systems.

Software for data storage management.

Storage area networks and network codes.