摘要:
The present inventions are related to systems and methods for an LDPC decoder with dynamic Tanner graph modification, and in particular, to a non-erasure channel LDPC decoder that implements a probabilistic approach to Tanner graph modification.
摘要:
The present invention is related to systems and methods for applying a data decode algorithm to different rotations or modifications of a decoder input as part of data processing.
摘要:
The present inventions are related to systems and methods for an LDPC decoder with dynamic Tanner graph modification, and in particular, to a non-erasure channel LDPC decoder that implements a probabilistic approach to Tanner graph modification.
摘要:
The present inventions are related to systems and methods for data processing, and more particularly to systems and methods for adaptively modifying a scaling factor in a data processing system.
摘要:
A probabilistic approach of symbol error estimation is disclosed. The probabilistic approach of symbol error estimation reflects the number of symbol errors more precisely than the number of unsatisfied checks. The more precise quality metric calculated in accordance with the present disclosure allows a codec system to achieve a better overall performance. In addition, many other features that previously depend on the number of unsatisfied checks as the sector quality metric may also benefit by adopting the more precise quality metric.
摘要:
A probabilistic approach of symbol error estimation is disclosed. The probabilistic approach of symbol error estimation reflects the number of symbol errors more precisely than the number of unsatisfied checks. The more precise quality metric calculated in accordance with the present disclosure allows a codec system to achieve a better overall performance. In addition, many other features that previously depend on the number of unsatisfied checks as the sector quality metric may also benefit by adopting the more precise quality metric.
摘要:
A method and system for eliminating/suppressing long transition runs over a communications channel is disclosed. The method may include providing modulation coding based on a multi-level finite state machine (ML-FSM) having a periodic structure, the periodic structure being defined by a predetermined number of time frames. The ML-FSM may include a plurality of penalty-free edges for connecting nodes in one time frame to nodes at the same level in a subsequent time frame and a plurality of penalty edges for connecting nodes in one time frame to nodes at an upper level in the subsequent time frame. The method may further include utilizing the ML-FSM based modulation coding to facilitate data transmission over the communications channel.