Techniques to facilitate compression of depth data and real-time reconstruction of high-quality light fields. A parameter space of values for a line, pairs of endpoints on different sides of the line, and a palette index for each pixel of a pixel tile of a depth image is sampled. Values for the line, the pairs of endpoints, and the palette index that minimize an error are determined and stored.

Disclosed are a method and apparatus for generating a decoding position control signal for decoding using polar codes. The method and apparatus for generating a decoding position control signal for decoding using polar codes according to an embodiment of the present disclosure include generating a decoding tree obtained by forming a plurality of nodes in a hierarchical structure for a polar-encoded codeword, decoding the codeword using a successive cancellation (SC) decoding technique, and generating control signal through a preset operation relationship based on a position of a bit returned during re-decoding among the decoded codeword.

A polar decoder circuit can execute successive cancellation list polar decoding on multiple threads concurrently. An LLR update engine of the polar decoder circuit and a sort engine of the polar decoder circuit can operate concurrently, with the LLR update engine computing updated path metrics for one codeword while the sort engine sorts candidates for one or more other codewords according to path metrics already computed by the LLR update engine. Threads corresponding to different codewords can cycle sequentially between the LLR update engine and the sort engine.

It provides a method (300) for polar decoding a received signal into a number, N, of bits with Successive Cancellation List, SCL. The method (300) includes: at the i-th level of a binary tree for decoding the i-th bit of the N bits, where 1≤i≤N: when the 1-th bit is an information bit, calculating (310) a path metric for each of 2*L.sub.i-1 candidate paths at the i-th level, where L.sub.i-1 is an SCL size at the (i−1)-th level and L.sub.0=1; setting (320) an SCL size at the i-th level, L.sub.i, based on L.sub.i-1 and a statistical distribution of the path metrics calculated for the 2*L.sub.i-1 candidate paths; and selecting (330) L.sub.i surviving paths from the 2*L.sub.i-1 candidate paths based on their respective path metrics.

A transmitter (200) generates (602) an encoded vector (404) by encoding (406) a data vector (402), the encoded vector representing payload information and parity information. The encoding is mathematically equivalent to calculating three or more forward error correction (FEC) codewords from the data vector and then calculating the encoded vector from the codewords, at least one codeword being calculated from at least one recursion of a mathematical operation, and at least one codeword comprising more than 6 terms. The transmitter transmits (604) a signal representing the encoded vector over a communication channel. A receiver (300) determines (702) a vector estimate (502) from the signal and recovers (716) the data vector from the vector estimate by sequentially decoding (706, 710, 714) the codewords, wherein at least one codeword that is decoded earlier in the decoding enhances an estimate of at least one codeword that is decoded later in the decoding.

The disclosure provides a method and a polar code decoder for determining a to-be-flipped bit position when performing a successive cancellation list flip operation. The method includes: obtaining a polar code decoding tree generated by performing a successive cancellation list (SCL) operation on a polar code segment, and the polar code segment includes multiple bit positions, and each bit position in the polar code decoding tree includes multiple surviving paths and multiple pruned paths; in a post-processing stage for the SCL operation, estimating a correct path probability of each of the surviving paths and the pruned paths of the i-th bit position and accordingly estimating a reliability for the i-th bit position; selecting a specific bit position among the bit positions based on the reliability of each bit position; and performing an SCL flip operation on the polar code decoding tree based on the specific bit position.

Techniques to facilitate compression of depth data and real-time reconstruction of high-quality light fields. A parameter space of values for a line, pairs of endpoints on different sides of the line, and a palette index for each pixel of a pixel tile of a depth image is sampled. Values for the line, the pairs of endpoints, and the palette index that minimize an error are determined and stored.

Methods, systems, and devices for wireless communications are described. The user equipment (UE) may initiate a successive cancellation list (SCL) decoding procedure, and may perform the SCL decoding procedure across various nodes (e.g., for each information bit through a decoding tree). At each node, the UE may determine whether a relationship between a first path metric and a second path metric satisfy a threshold. In some examples, the UE may determine whether multiple thresholds are satisfied. If conditions are satisfied (e.g., the relationship between the two path metrics satisfies a threshold), then the UE may decrease a list size of the SCL decoding.

It provides a method (300) for polar decoding a received signal into a number, N, of bits with Successive Cancellation List, SCL. The method (300) includes: at the i-th level of a binary tree for decoding the i-th bit of the N bits, where 1≤i≤N: when the i-th bit is an information bit, calculating (310) a path metric for each of 2*L.sub.i-1 candidate paths at the i-th level, where L.sub.i-1 is an SCL size at the (i−1)-th level and L.sub.0=1; setting (320) an SCL size at the i-th level, L.sub.i, based on L.sub.i-1 and a statistical distribution of the path metrics calculated for the 2*L.sub.i-1 candidate paths; and selecting (330) L.sub.i surviving paths from the 2*L.sub.i-1 candidate paths based on their respective path metrics.

A transmitter generates an encoded vector by encoding a data vector, the encoded vector representing payload information and parity information. The encoding is mathematically equivalent to calculating three or more forward error correction (FEC) codewords from the data vector and then calculating the encoded vector from the codewords, at least one codeword being calculated from at least one recursion of a mathematical operation, and at least one codeword comprising more than 6 terms. The transmitter transmits a signal representing the encoded vector over a communication channel. A receiver determines a vector estimate from the signal and recovers the data vector from the vector estimate by sequentially decoding the codewords, wherein at least one codeword that is decoded earlier in the decoding enhances an estimate of at least one codeword that is decoded later in the decoding.