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Found 7 papers, 2 papers with code
LDPC Decoding with Degree-Specific Neural Message Weights and RCQ Decoding
The neural network complexity to determine distinct weights for each edge is high, often limiting the application to relatively short LDPC codes.
Reconstruction-Computation-Quantization (RCQ): A Paradigm for Low Bit Width LDPC Decoding
RCQ facilitates dynamic non-uniform quantization to achieve good frame error rate (FER) performance with very low message precision.
FasterPose: A Faster Simple Baseline for Human Pose Estimation
By the experimental analysis, we find that the HR representation leads to a sharp increase of computational cost, while the accuracy improvement remains marginal compared with the low-resolution (LR) representation.
FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing
Non-uniform message quantization techniques such as reconstruction-computation-quantization (RCQ) improve error-correction performance and decrease hardware complexity of low-density parity-check (LDPC) decoders that use a flooding schedule.
Products-10K: A Large-scale Product Recognition Dataset
With the rapid development of electronic commerce, the way of shopping has experienced a revolutionary evolution.
A Reconstruction-Computation-Quantization (RCQ) Approach to Node Operations in LDPC Decoding
In contrast, the proposed RCQ decoder may be applied to any off-the-shelf LDPC code, including those with a large fraction of degree-2 variable nodes. Our simulations show that a 4-bit Min-Sum RCQ decoder delivers frame error rate (FER) performance around 0. 1dB of full-precision belief propagation (BP) for the IEEE 802. 11 standard LDPC code in the low SNR region. The RCQ decoder actually outperforms full-precision BP in the high SNR region because it overcomes elementary trapping sets that create an error floor under BP decoding.
An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes
Lou et al. proposed DSO CRC design methodology for a given zero-terminated convolutional code (ZTCC), in which the fundamental design principle is to maximize the minimum distance at which an undetectable error event of ZTCC first occurs.
Information Theory Information Theory
