【关键词】π-旋转;低密度奇偶校验码;索引矩阵;最小和算法【中图分类号】TN911【文献标识码】A【文章编号】1002-0802(2009)12-0057-03 NewMin-SumDecodingAlgorithmforπ-rotationLDPCCodes QIAOGuo-lei,DONGZi-jian (SchoolofElectronicengineering,HuaihaiInstituteofTechnology,LianyungangJiangsu222005,China) 【...
This paper proposes a new min-sum algorithm for low-density parity-check decoding. In this paper, we first define the negative and positive effects of the received signal-to-noise ratio (SNR) in the min-sum decoding algorithm. To improve the performance of error correction by considering the...
algorithmandoffsetBP— baseddecodingalgorithmunderthesameconditionofbiterrorrate,anditapproachestotheper formanceof LLR—BPdecodingalgorithm. Keywords:LDPCcodes;Tannergraph;Min— sumdecodingalgorithm;minimummeansquareerror;improvedMin—sum decodingalgorithm ...
最小最大树划分的近似算法与最小和树划分的精确算法 www.ilib.cn 3. Heuristics for Flexible Flow Shop Min-sum Scheduling Problem 最小和调度问题的启发式研究 scholar.ilib.cn 4. Optimized LDPC decoder based on modified min- sum algorithm 基于改进最小和算法的LDPC解码器的优化 www.ilib.cn©...
In this paper, we analyze the performance of quantized offset min-sum (MS) decoding algorithm and propose an optimally quantized offset MS algorithm for a flexible low-density parity-check (LDPC) decoder. It is known that the offset MS decoding algorithm is implemented with simplified hardware co...
Low Density Parity Check (LDPC) code approaches Shannon–limit performance for binary field and long code lengths. However, performance of binary LDPC code is degraded when the code word length is small. An optimized min-sum algorithm for LDPC code is pr
The Sum Product Algorithm (SPA) is known to offer the best performance in decoding large block length Low Density Parity Check (LDPC) codes. However, modifications in SPA to decrease the computation complexity have resulted in performance degradation. The Min Sum Algorithm (MSA) is one such vari...
写一个板子。 1#include <cstdio>2#include <algorithm>34usingnamespacestd;56constintmaxn =100000+10;78#defineROOT 1, 1, N9#definelson(x) (x<<1)10#definerson(x) (x<<1|1)1112structSegmentTree{13intl, r;14intma, mi, sum;15intlazy;16intlazy_ma, lazy_mi;17}st[maxn <<2];1819...
#include <iostream> #include <cstdio> #include <cstring> #include <algorithm> #include <string> #include <queue> #include <vector> #include <utility> #include <cmath> #define inf 0x7fffffff #define ll long long using namespace std; int a[100005]; int main() { int n; scanf("%d"...
This suggests that trying to find an efficient algorithm to solve the LP relaxation of the Potts min-sum problem has a fundamental limitation. Our constructions apply also to integral solutions, yielding novel reductions of the (non-relaxed) general min-sum problem to the Potts min-sum problem....