Abstract: In a communication device that is operative to perform decoding, a log-likelihood ratio (LLR) circuitry operates to calculate LLRs corresponding to every bit location within a received bit sequence. This received bit sequence may include a header and a data portion (both of which may be included within a frame that also includes a preamble). The header is composed of information bits, a duplicate of those information bits (such as may be generated in accordance with repetition encoding), and redundancy bits. The header includes information corresponding to frame or data including frame length, a code type by which the data are encoded, a code rate by which the data are encoded, and a modulation by which symbols of the data are modulated. Once the header has been decoded, then the data corresponding thereto is decoded by a block decoder circuitry to make estimates of that data.

Abstract: Algebraic method to construct LDPC (Low Density Parity Check) codes with parity check matrix having CSI (Cyclic Shifted Identity) sub-matrices. A novel approach is presented by which identity sub-matrices undergo cyclic shifting, thereby generating CSI sub-matrices that are arranged forming a parity check matrix of an LDPC code. The parity check matrix of the LDPC code may correspond to a regular LDPC code, or the parity check matrix of the LDPC code may undergo further modification to transform it to that of an irregular LDPC code. The parity check matrix of the LDPC code may be partitioned into 2 sub-matrices such that one of these 2 sub-matrices is transformed to be a block dual diagonal matrix; the other of these 2 sub-matrices may be modified using a variety of means, including the density evolution approach, to ensure the desired bit and check degrees of the irregular LDPC code.

Abstract: Decoding side intra-prediction derivation for video coding. Just decoded pixels within a given picture (image) (e.g., such as a given picture (image) within video data) are employed for decoding other pixels within that very same picture (image) using prediction vectors extending from the just decoded pixels to the pixels currently being decoded. In one instance, this intra-prediction operation in accordance with video or image processing can also operate using relatively limited information provided from the device that provides or transmits the video data to the device in which it undergoes processing. Coarse and/or refined direction information corresponding to these prediction vectors may be provided from the device that provides or transmits the video data to the device in which it undergoes processing.

Abstract: LDPC (Low Density Parity Check) codes with corresponding parity check matrices selectively constructed with CSI (Cyclic Shifted Identity) and null sub-matrices. An LDPC matrix corresponding to an LDPC code is employed within a communication device to encode and/or decode coded signals for use in any of a number of communication systems. The LDPC matrix is composed of a number of sub-matrices and may be partitioned into a left hand side matrix and a right hand side matrix. The right hand side matrix may include two sub-matrix diagonals therein that are composed entirely of CSI (Cyclic Shifted Identity) sub-matrices; one of these two sub-matrix diagonals is located on the center sub-matrix diagonal and the other is located just to the left thereof. All other sub-matrices of the right hand side matrix may be null sub-matrices (i.e., all elements therein are values of zero “0”).

Abstract: Data puncturing ensuring orthogonality within communication systems. Puncturing is employed within communication systems to ensure orthogonality (or substantial orthogonality) of various transmissions between communication devices within communication systems. Any of a variety of types of signals can be employed herein including uncoded signals, turbo encoded signals, turbo trellis coded modulation (TTCM) encoded signals, LDPC (Low Density Parity Check) encoded signals, and a RS (Reed-Solomon) encoded signals, among just some types of signals. A first transmission can be made from a first communication device to a second communication device, and the second communication device can sometimes request a subsequent transmission (e.g., a re-transmission) from the first communication device to the second communication device. Oftentimes, different information is sent from the first communication device to the second communication device within the subsequent transmission.

Abstract: Multi-CSI (Cyclic Shifted Identity) sub-matrix based LDPC (Low Density Parity Check) codes. A CSI parameter set, that includes at least one dual-valued entry and may also include at least one single-valued entry, and/or at least one all-zero-valued entry, is employed to generate an LDPC matrix. One of the single-valued entries may be 0 (being used to generate a CSI matrix with cyclic shift value of 0, corresponding to an identity sub-matrix such that all entries along the diagonal have elements values of 1, and all other elements therein are 0). Once the LDPC matrix is generated, it is employed to decode an LDPC coded signal to make an estimate of an information bit encoded therein. Also, the LDPC matrix may itself be used as an LDPC generator matrix (or the LDPC generator matrix may alternatively be generated by processing the LDPC matrix) for use in encoding an information bit.

Abstract: Virtual limited buffer modification for rate matching. A reduced-size memory module is employed within a communication device to assist in storage of log-likelihood ratios (LLRs) employed in accordance with turbo decoding. This architecture is also applicable to other types of error correction code (ECC) besides turbo code as well. The memory size is selected to match the number of coded bits (e.g., including information bits and redundancy/parity bits) that is included within a transmission. The received signals may be various transmissions made in accordance with hybrid automatic repeat request (HARQ) transmissions. When the LLRs calculated from a first HARQ transmission is insufficient to decode, those LLRs are selectively stored in the memory module. When LLRs corresponding to a second HARQ transmission is received, LLRs corresponding to both the first HARQ transmission and the second HARQ transmission are passed from the memory module for joint use in decoding.

Abstract: Turbo coding having combined turbo de-padding and rate matching de-padding. An approach is presented by which a singular module is operable to perform both zero bit de-padding and dummy bit de-padding in accordance with turbo encoding. Zero padding can be performed on an input information stream before undergoing turbo encoding. One or more of the 3 outputs from the turbo encoding module (e.g., systematic bits, parity 1 bits, and parity 2 bits) may then undergo dummy bit padding as well. Thereafter, these 3 streams (some or all of which may have undergone dummy bit padding) undergo sub-block interleaving. After all of these operations have taken place, a singular combined de-padding module that can be employed to perform de-padding any zero padded bits and any dummy padded bits from each of the three streams that have undergone the sub-block interleaving.

Abstract: Formulaic flexible collision-free memory accessing for parallel turbo decoding with quadratic polynomial permutation (QPP) interleave. A means is presented by which any desired number of parallel implemented turbo decoding processors can be employed to perform turbo decoding that has been performed using a QPP interleave. This approach is presented to allow an arbitrarily selected number (M) of decoding processors (e.g., a plurality of parallel implemented turbo decoders) to perform decoding of a turbo coded signal while still using a selected embodiment of a QPP interleave. In addition, a collision-free memory mapping, (MOD,C,W) provides more freedom for selecting the particular quadratic polynomial permutation (QPP) interleave (?) that satisfies a parallel turbo decoding implementation with any desired number of parallel implemented turbo decoding processors.

Abstract: A wireless local area network (WLAN) transmitter includes a baseband processing module and a plurality of radio frequency (RF) transmitters. The processing module selects one of a plurality of modes of operation based on a mode selection signal. The processing module determines a number of transmit streams based on the mode selection signal. The processing of the data further continues by converting encoded data into streams of symbols in accordance with the number of transmit streams and the mode selection signal. A number of the plurality of RF transmitters are enabled based on the mode selection signal to convert a corresponding one of the streams of symbols into a corresponding RF signal such that a corresponding number of RF signals is produced.

Abstract: Fixed-spacing parity insertion for FEC (Forward Error Correction) codewords. Fixed spacing is employed to intersperse parity bits among information bits when generating a codeword. According to this fixed spacing, a same number of information bits is placed between each of the parity bits within the codeword. If desired, the order of the parity bits may be changed before they are placed into the codeword. Moreover, the order of the information bits may also be modified before they are placed into the codeword. The FEC encoding employed to generate the parity bits from the information bits can be any of a variety of codes include Reed-Solomon (RS) code, LDPC (Low Density Parity Check) code, turbo code, turbo trellis coded modulation (TTCM), or some other code providing FEC capabilities.

Abstract: Tail-biting turbo coding to accommodate any information and/or interleaver block size. The beginning and ending state of a turbo encoder can be made the same using a very small number of dummy bits. In some instances, any dummy bits that are added to an information block before undergoing interleaving are removed after interleaving and before transmission of a turbo coded signal via a communication channel thereby increasing throughput (e.g., those dummy bits are not actually transmitted via the communication channel). In other instances, dummy bits are added to both the information block that is encoded using a first constituent encoder as well as to an interleaved information block that is encoded using a second constituent encoder.

Abstract: Optimal circular buffer rate matching for turbo code. An offset index, ?, of 3 and a skipping index, ?, of 3 is employed in accordance with circular buffer rate matching. This allows less puncturing of information bits and more puncturing of redundancy/parity bits (e.g., which can provide for a higher rate). Multiple turbo codes may be generated from a mother code such that each generated turbo code can be employed to encode information bits. For example, a first turbo coded signal can be generated using a first turbo code generated from the mother code, and a second turbo coded signal can be generated using a second turbo code generated from the mother code. Any of these turbo coded signal can be decoded using parallel decoding processing or a single turbo decoder (when each turbo coded signal undergoes processing to transform it back to the mother code format).

Abstract: Turbo coding having combined turbo de-padding and rate matching de-padding. An approach is presented by which a singular module is operable to perform both zero bit de-padding and dummy bit de-padding in accordance with turbo encoding. Zero padding can be performed on an input information stream before undergoing turbo encoding. One or more of the 3 outputs from the turbo encoding module (e.g., systematic bits, parity 1 bits, and parity 2 bits) may then undergo dummy bit padding as well. Thereafter, these 3 streams (some or all of which may have undergone dummy bit padding) undergo sub-block interleaving. After all of these operations have taken place, a singular combined de-padding module that can be employed to perform de-padding any zero padded bits and any dummy padded bits from each of the three streams that have undergone the sub-block interleaving.

Abstract: Formulaic flexible collision-free memory accessing for parallel turbo decoding with quadratic polynomial permutation (QPP) interleave. A means is presented by which any desired number of parallel implemented turbo decoding processors can be employed to perform turbo decoding that has been performed using a QPP interleave. This approach is presented to allow an arbitrarily selected number (M) of decoding processors (e.g., a plurality of parallel implemented turbo decoders) to perform decoding of a turbo coded signal while still using a selected embodiment of a QPP interleave. In addition, a collision-free memory mapping, MOD,C,W) provides more freedom for selecting the particular quadratic polynomial permutation (QPP) interleave (?) that satisfies a parallel turbo decoding implementation with any desired number of parallel implemented turbo decoding processors.

Abstract: Reduced complexity ARP (almost regular permutation) interleaves providing flexible granularity and parallelism adaptable to any possible turbo code block size. A novel means is presented by which any desired turbo code block size can be employed when only requiring, in only some instances, a very small number of dummy bits. This approach also is directly adaptable to parallel turbo decoding, in which any desired degree of parallelism can be employed. Alternatively, as few as one turbo decoder can be employed in a fully non-parallel implementation as well. Also, this approach allows for storage of a reduced number of parameters to accommodate a wide variety of interleaves.

Abstract: A wireless local area network (WLAN) transmitter includes a baseband processing module and a plurality of radio frequency (RF) transmitters. The baseband processing module is operably coupled to process data by scrambling the data in accordance with a pseudo random sequence to produce scrambled data. The processing of the data continues by selecting one of a plurality of encoding modes based on a mode selection signal. The processing of the data continues by encoding the scrambled data in accordance with the one of the plurality of encoding modes to produce encoded data. The processing of the data continues by determining a number of transmit streams based on the mode selection signal. The processing of the data further continues by converting the encoded data into streams of symbols in accordance with the number of transmit streams and the mode selection signal.

Abstract: Variable modulation within combined LDPC (Low Density Parity Check) coding and modulation coding systems. A novel approach is presented for variable modulation encoding of LDPC coded symbols. In addition, LDPC encoding, that generates an LDPC variable code rate signal, may also be performed as well. The encoding can generate an LDPC variable code rate and/or modulation signal whose code rate and/or modulation may vary as frequently as on a symbol by symbol basis. Some embodiments employ a common constellation shape for all of the symbols of the signal sequence, yet individual symbols may be mapped according different mappings of the commonly shaped constellation; such an embodiment may be viewed as generating a LDPC variable mapped signal. In general, any one or more of the code rate, constellation shape, or mapping of the individual symbols of a signal sequence may vary as frequently as on a symbol by symbol basis.

Abstract: Variable modulation with LDPC (Low Density Parity Check) coding provides for generation of LDPC coded symbols having different respective code rates and/or modulations. In addition, appropriate LDPC encoding, that generates an LDPC variable code rate signal, may also be performed as well. The encoding can generate an LDPC variable code rate and/or modulation signal whose code rate and/or modulation may vary as frequently as on a symbol by symbol basis. Some embodiments employ a common constellation shape for all of the symbols of the signal sequence, yet individual symbols may be mapped according different mappings of the commonly shaped constellation; such an embodiment may be viewed as generating a LDPC variable mapped signal. In general, any one or more of the code rate, constellation shape, and/or mapping of the individual symbols of a signal sequence may vary as frequently as on a symbol by symbol basis.

Abstract: Quadratic polynomial permutation (QPP) interleaver providing hardware saving and flexible granularity adaptable to any possible turbo code block size. A means is presented by which only a very small number of coefficients need be stored to effectuate a wide variety of QPP interleaves as can be employed in the context of turbo coding. In one instance, to accommodate the approximate 6000 different turbo code block sizes in 3GPP LTE channel coding, only 5 different coefficient values need to be stored to effectuate a very broad range of QPP interleaves to be applied each of those various turbo code block sizes. Moreover, a few small number of dummy bits, if any, need to be employed to accommodate a very broad range of turbo code block sizes. It is noted that the QPP interleaving as described herein can be applied to turbo encoding and turbo decoding (e.g., including both interleaving and de-interleaving).