Memory Decoder Seed Selection for Low-BER NAND Reads

The patent applies preliminary action by pre-calculating syndrome weights for all possible scrambled sequences during the encoding phase and storing them in a lookup table. During decoding, the received sequence is simply looked up in this pre-prepared table, avoiding complex real-time syndrome calculations. This shifts the computational burden to the encoding phase, making the decoding phase fast and simple while maintaining reliability improvements from guided scrambling.

The patent uses copying by creating multiple copies of the same data with different scrambling seeds and storing them in different physical locations. During read operations, all copies are retrieved and the correct one is identified using pre-computed syndrome weights. This copying approach allows the system to benefit from multiple scrambled versions without increasing decoding complexity, as the selection process uses simple lookup rather than complex comparison.

The patent performs preliminary action by pre-computing syndrome weights for all possible descrambled sequences during system initialization or encoding. These pre-computed weights are stored in a lookup table that enables fast comparison during decoding. This eliminates the need for time-consuming real-time syndrome calculations when multiple descrambling operations are needed, allowing the system to maintain high data accuracy while minimizing processing time penalties.

The patent applies dynamics by making the descrambling process adaptive based on the received signal quality and syndrome weight comparisons. Instead of performing all descrambling operations uniformly, the system dynamically selects the appropriate descrambling path based on pre-computed syndrome weights and actual received data characteristics. This dynamic approach allows the system to handle noise variability efficiently without always performing the maximum number of descrambling operations.

The patent uses copying by pre-calculating and storing syndrome weights for all possible sequences in a lookup table during system initialization or encoding phase. During decoding, instead of performing complex syndrome calculations for each received sequence, the system simply copies the pre-computed syndrome weight from the lookup table using the received sequence as an index. This copying approach maintains high error detection accuracy while dramatically reducing computational overhead during actual read operations.

The patent applies preliminary action by performing all syndrome weight calculations in advance during encoding or system initialization, rather than during the time-critical decoding operation. The pre-computed syndrome weights are stored and reused for multiple reads of the same data, amortizing the computational cost over many operations. This shifts the computational burden to a non-critical phase, maintaining error detection accuracy while minimizing real-time processing power requirements.