A method includes calculating a number of iterative detection and decoding (IDD) iterations and a number of decoding iterations for each of a plurality of channel coding units in a target codeword; calculating a demodulation time and a decoding time for the target codeword based on the number of IDD iterations and the number of decoding iterations for the target codeword; adding the target codeword to a codeword set, based on a demodulation time and a decoding time for codewords in the codeword set and the target codeword; and performing an IDD operation based on a number of IDD iterations and a number of decoding iterations.

A method for channel-coding information bits using a code generation matrix including 32 rows and A columns corresponding to length of the information bits includes, channel-coding the information bits having “A” length using basis sequences having 32-bit length corresponding to columns of the code generation matrix, and outputting the channel-coded result as an output sequence. If “A” is higher than 10, the code generation matrix is generated when (A-10) additional basis sequences were added as column-directional sequences to a first or second matrix. The first matrix is a TFCI code generation matrix composed of 32 rows and 10 columns used for TFCI coding. The second matrix is made when at least one of an inter-row location or an inter-column location of the first matrix was changed. The additional basis sequences satisfy a value 10 of a minimum Hamming distance.

In general, according to an embodiment, a memory system includes a memory device including a memory cell; and a controller. The controller is configured to: receive first data from the memory cell in a first data reading; receive second data from the memory cell in a second data reading that is different from the first data reading; convert a first value that is based on the first data and the second data, to a second value in accordance with a first relationship; and convert the first value to a third value in accordance with a second relationship that is different from the first relationship.

A semiconductor memory device includes a memory cell array, an on-die error correction code (ECC) engine, and a control logic circuit. The on-die ECC engine, based on an ECC, in a write operation, performs an ECC encoding on main data to generate first parity data, selectively replaces a portion of the first parity data with a poison flag to generate second parity data based on a poison mode signal, provides the main data to a normal cell region in a target page of the memory cell array, and provides the first parity data to a parity cell region in the target page or provides the poison flag and the second parity data to the parity cell region. The control logic circuit controls the on-die ECC engine and generates the poison mode signal, based on a command and an address from a memory controller.

Systems and methods are provided for decoding data read from non-volatile storage devices. A method that may include decoding a first codeword read from a storage location of a non-volatile storage device using a first decoder without soft information, determining that the first decoder has failed to decode the first codeword, decoding the first codeword using a second decoder without soft information, determining that the second decoder has succeeded in decoding the first codeword, generating soft information associated with the storage location using decoding information generated by the second decoder and decoding a subsequent codeword from the storage location using the soft information associated with the storage location. The second decoder may be more powerful than the first decoder.

Methods and apparatus for transmitting and receiving broadcast signals are provided. The method for transmitting a broadcast signal includes encoding mobile data for forward error correction (FEC), encoding signaling data, forming data groups including the encoded mobile data and the encoded signaling data and transmitting a signal frame that includes the data groups.

Aspects of the subject disclosure may include, for example, obtaining a received channel-encoded data block having information bits, a transmitted error-check value, and redundant code bits. The redundant code bits correspond to a channel code applied to the received channel-encoded data block prior to transmission via a communication channel. A channel code type is identified and responsive to it being systematic, the information bits and the transmitted error-check value are obtained without decoding according to the channel code. The received channel-encoded data block is checked according to the transmitted error-check value to obtain a result. Responsive to the result not indicating an error, extracting the information bits without decoding the received channel-encoded data block according to the channel code. Responsive to the result indicating an error, decoding the received channel-encoded data block according to the channel code to obtain decoded information bits. Other embodiments are disclosed.

A decoding method includes: receiving a plurality of subcarrier signals each including encoded data; acquiring a predetermined amount of data from each of the plurality of subcarrier signals; correcting errors in the plurality of subcarrier signals by performing decoding arithmetic processing on the respective predetermined amounts of data acquired from the plurality of subcarrier signals in a time-division manner; and causing the decoding arithmetic processing to be consecutively performed on each of the predetermined amounts of data a predetermined number of times.

The present invention is directed to communication systems and methods. In a specific embodiment, the present invention provides a receiver that includes an error correction module. A syndrome value, calculated based on received signals, may be used to enable the error correction module. The error correction module includes an error generator, a Nyquist error estimator, and a decoder. The decoder uses error estimation generated by the Nyquist error estimator to correct the decoded data. There are other embodiments as well.

Techniques are described for codeword decoding. In an example, a system computes a checksum for a codeword based on the codeword and a parity check matrix. The system compares the checksum to thresholds. Each threshold is associated with a different decoder from a plurality of decoders available on the system. The system selects a decoder from the plurality of decoders. The decoder is selected based on the comparison of the checksum to the thresholds. The system decodes the codeword by using the selected decoder.