We present methods to estimate code performance and decoder complexity from the code rate, block size, and word-error rate, for families of related low-density parity-check (LDPC) codes. Performance estimates are generally within a couple tenths of a decibel of results determined by simulation; estimates of complexity (and hence decoder speed) are generally within 10 percent. Experimental data show that there is a trade-off between complexity and code performance determined by the design of the LDPC code, and that each 1 dB (26 percent) of increased complexity is worth about a 0.1-dB reduction in the required signal-to-noise ratio. I
The effects of clipping and quantization on the performance of the min-sum algorithm for the decodin...
The performance of low-density parity-check (LDPC) codes decoded by hard-decision iterative decoding...
Abstract—This paper presents a structured optimization framework for reducing the computational comp...
grantor: University of TorontoReduced complexity decoding algorithms for Low Density Pari...
tion (LLR-BP) decoding algorithms and their reduced-complexity derivatives for low-density parity-ch...
The quest to construct good error-correcting codes that are amendable to low complexity decoding has...
Abstract: Low density parity checking codes (LDPC) are one of the most important issues in coding th...
This study focuses on the efficiency of message-passing-based decoding algorithms for polar and low-...
This paper describes a combinatorial approach to estimate the error rate performance of low-density ...
This paper describes a combinatorial approach to estimate the error rate performance of low-density ...
Low density parity check (LDPC) codes can be decoded with a variety of decoding algorithms, offering...
Low density parity check (LDPC) codes can be decoded with a variety of decoding algorithms, offering...
5noThis paper investigates about the usefulness of some recently published low complexity upper boun...
Potentially large storage requirements and long initial decoding delays are two practical issues rel...
Abstract—By presenting an approximated performance-complexity tradeoff (PCT) algorithm, a low-comple...
The effects of clipping and quantization on the performance of the min-sum algorithm for the decodin...
The performance of low-density parity-check (LDPC) codes decoded by hard-decision iterative decoding...
Abstract—This paper presents a structured optimization framework for reducing the computational comp...
grantor: University of TorontoReduced complexity decoding algorithms for Low Density Pari...
tion (LLR-BP) decoding algorithms and their reduced-complexity derivatives for low-density parity-ch...
The quest to construct good error-correcting codes that are amendable to low complexity decoding has...
Abstract: Low density parity checking codes (LDPC) are one of the most important issues in coding th...
This study focuses on the efficiency of message-passing-based decoding algorithms for polar and low-...
This paper describes a combinatorial approach to estimate the error rate performance of low-density ...
This paper describes a combinatorial approach to estimate the error rate performance of low-density ...
Low density parity check (LDPC) codes can be decoded with a variety of decoding algorithms, offering...
Low density parity check (LDPC) codes can be decoded with a variety of decoding algorithms, offering...
5noThis paper investigates about the usefulness of some recently published low complexity upper boun...
Potentially large storage requirements and long initial decoding delays are two practical issues rel...
Abstract—By presenting an approximated performance-complexity tradeoff (PCT) algorithm, a low-comple...
The effects of clipping and quantization on the performance of the min-sum algorithm for the decodin...
The performance of low-density parity-check (LDPC) codes decoded by hard-decision iterative decoding...
Abstract—This paper presents a structured optimization framework for reducing the computational comp...