A device includes a non-volatile memory, a traffic analyzer, and a parameter adjuster. The traffic analyzer is configured to generate a traffic type indicator based on one or more read requests from an access device to access data at the non-volatile memory. The traffic type indicator has a first value responsive to the one or more read requests corresponding to a first traffic type and has a second value responsive to the one or more read requests corresponding to a second traffic type. The parameter adjuster is configured to designate one or more decode parameter values based on the traffic type indicator.

A system for an Error Correction Code (ECC) decoder includes a first decoder and a second decoder. The first decoder is configured to determine a first estimated number of errors in encoded data received at the first decoder and to compare the first estimated number of errors to a first threshold and a second threshold. The second decoder is configured to receive the encoded data when the first estimated number of errors is below the first threshold and is above a second threshold. When the first estimated number of errors is above the first threshold, the first decoder passes the encoded data out of the ECC. The first decoder has a lower power consumption than the second decoder.

A device includes a non-volatile memory and a low density parity check (LDPC) decoder configured to receive a representation of a codeword from the non-volatile memory. The LDPC decoder includes multiple data processing units (DPUs) and a control circuit coupled to the DPUs. The control circuit is responsive to an error metric associated with the representation of the codeword and is configured to set a message resolution at least partially based on the error metric and to selectively disable one or more components of the LDPC decoder based on the message resolution.

A device includes a low density parity check (LDPC) decoder that configured to receive a representation of a codeword. The LDPC decoder includes a message memory configured to store decoding messages, multiple data processing units (DPUs), a control circuit, and a reording circuit. The control circuit is configured to enable a first number of the DPUs to decode the representation of the codeword in response to a decoding mode indicator indicating a first decoding mode and to enable a second number of the DPUs to decode the representation of the codeword in response to the decoding mode indicator indicating a second decoding mode. The reordering circuit is configured to selectively reorder at least one of the decoding messages based on the decoding mode indicator.

A device includes a low density parity check (LDPC) decoder that is configured to receive a representation of a codeword. The LDPC decoder includes a circuit configured to set a message length of a decoding message at least partially based on an error metric associated with the representation of the codeword. The LDPC decoder also includes a processing unit including a first group of components and a second group of components. The processing unit configured to selectively couple the first group of components to the second group of components based on the message length of the decoding message.

A device includes a low density parity check (LDPC) decoder that configured to receive a representation of a codeword. The LDPC decoder includes multiple data processing units (DPUs) and a control circuit. The control circuit is responsive to a decoding mode indicator and to an error metric and is configured to configure the DPUs according to a decoding mode indicated by the decoding mode indicator. The control circuit is further configured to selectively set a reduced-power configuration of one or more components of the LDPC decoder at least partially based on the error metric.

Certain aspects of the present disclosure generally relate to techniques for efficient, high-performance decoding of low-density parity check (LDPC) codes, for example, by using an adjusted minimum-sum (AdjMS) algorithm, which involves approximating an update function and determining magnitudes of outgoing log likelihood ratios (LLRs). Similar techniques may also be used for decoding turbo codes. Other aspects, embodiments, and features (such as encoding technique) are also claimed and described.

A system for a fiber-optic network includes a transceiver. The transceiver includes a fiber-optic interface unit and a host unit. The host unit includes a low-complexity error correction decoder and a high-complexity error correction decoder. One or both from the low-complexity error correction decoder and the high-complexity error correction decoder are selected to decode input data from the fiber-optic interface unit, the input data including codewords.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit an indication to a network entity that the UE is capable of decoding Reed-Solomon codes and that the UE is capable of performing near maximal likelihood demodulation. The network entity may transmit a message indicating that a Reed-Solomon code is applied to one or more scheduled signals based at least in part on the indication. The network entity may apply Reed-Solomon coding to a signal of the one or more scheduled signals based at least in part on the message. The UE may apply near maximal likelihood demodulation and Reed-Solomon decoding to a received signal of the one or more scheduled signals based at least in part on the message.

A wireless communications device includes a receiver having a phase detector configured to extract frequency offset and provide a corresponding error signal generated based on a baseband version of a received radio frequency signal and an expected transmitted data signal. The receiver has a phase-locked loop configured to generate an error correction signal based on a phase of the error signal and a predicted instantaneous phase of the error signal. The receiver has a correction circuit configured to provide a corrected baseband version of the received radio frequency signal based on the baseband version of the received radio frequency signal and the error correction signal. The receiver may have a re-encoding-based processing circuit configured to provide the expected transmitted data signal based on a preliminarily decoded symbol.