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Jun 30, 2025 · In this work, we propose a lightweight decoder based solely on belief-propagation (BP), augmented with a speculative post-processing strategy inspired by classical Chase decoding. Our method identifies ...
A Python library implementing belief propagation with ordered statistics post-processing for decoding sparse quantum LDPC codes as described in arXiv:2005.07016. Note, this library has recently been completly rewritte...
Decoding algorithms for LDPC codes generally derive from the belief propagation (BP) algorithm, which is also termed the sum-product (SP) or message passing (MP) algorithm. The algorithm is a probabilistic algorithm t...
Belief propagation (BP) decoding To decode using belief propagation, first load an instance of the ldpc.BpDecoder class.
Belief-Propagation Decoding of LDPC Codes Amir Bennatan, Princeton University Revolution in coding theory Reliable transmission, rates approaching capacity. BIAWGN, Rate = 0.5, Threshold 0.0045 dB of Shannon limit. BI...
We derive the decoder’s complexity and demonstrate that, in the high-SNR regime, the average decoding complexity of BPORBOSD approaches that of standard BP. Simulation results confirm that BP-ORBOSD achieves FERs clos...
What is the difference between BP and LDPC?