BEE2: A High-End Reconfigurable Computing System
IEEE Design & Test
Predicting error floors of structured LDPC codes: deterministic bounds and estimates
IEEE Journal on Selected Areas in Communications - Special issue on capaciyy approaching codes
Design of LDPC decoders for improved low error rate performance: quantization and algorithm choices
IEEE Transactions on Communications
Modern Coding Theory
Analysis of absorbing sets and fully absorbing sets of array-based LDPC codes
IEEE Transactions on Information Theory
Codes on graphs: normal realizations
IEEE Transactions on Information Theory
The capacity of low-density parity-check codes under message-passing decoding
IEEE Transactions on Information Theory
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Low-density parity-check (LDPC) codes have been demonstrated to perform very close to the Shannon limit when decoded iteratively. However challenges persist in building practical high-throughput decoders due to the existence of error floors at low error rate levels. We apply high-throughput hardware emulation to capture errors and error-inducing noise realizations, which allow for in-depth analysis. This method enables the design of LDPC decoders that operate without error floors down to very low bit error rate (BER) levels. Such emulation-aided studies facilitate complex systems designs.