Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduces a new theoretical framework, akin to the use of imprecise message storage in Low Density Parity Check (LDPC) decoders, which is seen as an enabler for cost-effective hardware designs. The proposed framework is the one of Non-Surjective Finite Alphabet Iterative Decoders (NS-FAIDs), and it is shown to provide a unified approach for several designs previously proposed in the literature. NS-FAIDs are optimized by density evolution for WiMAX irregular LDPC codes and  show they provide different trade-offs beten hardware complexity and decoding performance. In particular,  derive a set of 27 NS-FAIDs that provide decoding gains up to 0.36 dB, while yielding a memory/interconnect reduction up to 25%/30% compared to the Min-Sum decoder.
['Thien Truong Nguyen-Ly', 'Khoa Le', 'Valentin Savin', 'David Declercq', 'Fakhreddine Ghaffari', 'Oana Boncalo']
I am writing a research paper on a idea Non-surjective finite alphabet iterative decoders
[{"from": "human", "value": "I am writing a research paper on a idea Non-surjective finite alphabet iterative decoders"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduces a new theoretical framework, akin to the use of imprecise message storage in Low Density Parity Check (LDPC) decoders, which is seen as an enabler for cost-effective hardware designs. The proposed framework is the one of Non-Surjective Finite Alphabet Iterative Decoders (NS-FAIDs), and it is shown to provide a unified approach for several designs previously proposed in the literature. NS-FAIDs are optimized by density evolution for WiMAX irregular LDPC codes and  show they provide different trade-offs beten hardware complexity and decoding performance. In particular,  derive a set of 27 NS-FAIDs that provide decoding gains up to 0.36 dB, while yielding a memory/interconnect reduction up to 25%/30% compared to the Min-Sum decoder."}]