A particular overall architecture for transmission over a bonded channel system consisting of two interconnected MoCA (Multimedia over Coax Alliance) 2.0 SoCs (Systems on a Chip) and a method and apparatus for the case of a “bonded” channel network. With a bonded channel network, the data is divided into two segments, the first of which is transported over a primary channel and the second of which is transported over a secondary channel.

A transmitting apparatus is provided. The transmitting apparatus includes: an encoder configured to perform a low-density parity check (LDPC) encoding on input bits using a parity check matrix to generate an LDPC codeword comprising information word bits and parity bits; an interleaver configured to interleave the LDPC codeword; and a modulator configured to map the interleaved LDPC codeword onto a modulation symbol, wherein the modulator is further configured to map a bit included in a predetermined bit group from among a plurality of bit groups constituting the LDPC codeword onto a predetermined bit of the modulation symbol.

A transmitter is provided. The transmitter includes: a low density parity check (LDPC) encoder configured to encode input bits to generate an LDPC codeword including the input bits and parity bits; a repeater configured to select at least a part of bits constituting the LDPC codeword and add the selected bits after the input bits; and a puncturer configured to puncture at least a part of the parity bits.

A quasi-cyclic LDPC coding and decoding method and apparatus, and an LDPC coder and decoder. The method includes: determining from a mother basis matrix set a basis matrix used for low density parity check (LDPC) coding (S202), wherein the basis matrix used for LDPC coding includes a first-type element and a second-type element, the first-type element corresponds to an all-zero square matrix, the second-type element corresponds to a matrix obtained by means of a cyclic shift of a unit matrix according to a value of the second-type element, and dimensions of the all-zero square matrix and the unit matrix are equal; and performing LDPC coding on an information sequence to be coded according to the basis matrix used for LDPC coding, and/or performing LDPC decoding on a data sequence to be decoded according to the basis matrix used for LDPC coding (S204).

A transmitter apparatus and a receiver apparatus are provided. The transmitter apparatus includes: an encoder configured to generate a low density parity check (LDPC) by performing LDPC encoding; an interleaver configured to interleave the LDPC codeword; and a modulator configured to map the interleaved LDPC codeword onto a modulation symbol. The modulator maps a bit included in a predetermined group from among a plurality of groups constituting the LDPC codeword onto a predetermined bit in the modulation symbol.

A transmitter apparatus and a receiver apparatus are provided. The transmitter apparatus includes: an encoder configured to generate a low density parity check (LDPC) by performing LDPC encoding; an interleaver configured to interleave the LDPC codeword; and a modulator configured to map the interleaved LDPC codeword onto a modulation symbol. The modulator maps a bit included in a predetermined group from among a plurality of groups constituting the LDPC codeword onto a predetermined bit in the modulation symbol.

There is provided a decoding circuit including; a first decoding unit that decodes a first signal from a multiplexed signal in which the first signal and a second signal are multiplexed in an LDM (Layered Division Multiplexing) system; and a second decoding unit that decodes the second signal from the multiplexed signal using the decoding result of the decoded first signal, wherein the second signal is selectively decoded based on noise information related to a reception state of the multiplexed signal.

Examples described herein utilize multi-layer neural networks to decode encoded data (e.g., data encoded using one or more encoding techniques). The neural networks have nonlinear mapping and distributed processing capabilities which are advantageous in many systems employing the neural network decoders. In this manner, neural networks described herein are used to implement error code correction (ECC) decoders.

An apparatus for a station (STA) configured for operating in a next-generation (NG) wireless local area network (WLAN) comprises the processing circuitry configured to modify probabilities of constellation points to generate a more Gaussian distribution. In these embodiments, for LDPC framing and OFDM packing, the transmitter circuitry may be configured to compute a number of output bits (b.sub.out) to be transmitted based on a number of payload bits (b.sub.in) at an output of a shaping encoder, a shaping rate (r.sub.shaping), and an overhead percent (B.sub.overhead). A shaping gain of up to 1.53 dB may be achieved. A new shaping encoder is provided to address the issue that the number of bits is not fixed.

An apparatus is described. The apparatus includes a memory chip. The memory chip has an error correction code (ECC) encoder logic circuit and an ECC decoder logic circuit. The ECC decoder logic circuit is to place an additional one or more errors that result from incorrect error correction applied to a read code word into a same block of multiple blocks of the read code word's raw data bit portion where original errors in the read code word existed before the read code word was decoded by the ECC decoder logic circuit.