Log-likelihood ratio algorithm for use in reducing co-channel interference in wireless communication systemsIn one embodiment, an apparatus includes a receiver configured to receive a transmission from a wireless communication device, the transmission associated with resource units, a detector configured to...
Twitter Google Share on Facebook LLR (redirected fromLog-likelihood ratio) Category filter: AcronymDefinition LLRLog-Likelihood Ratio LLRLaboratoire Leprince-Ringuet(French research laboratory; National Institute of Nuclear Physics and Particle Physics) ...
The main idea of this algorithm is to capture an instance where a distribution changes its parameters. The log-likelihood ratio is defined as (1)L(y)=lnpθ1(y)pθ0(y), where θ0 and θ1 represent a set of parameters of a distribution before and after a change point. The natural ...
【Abstract】Aimingattheproblemsinfeatureselectionalgorithmoftextclassificationsystembasedonvectorspacemodel,afeatureselection algorithmbasedonLoglikelihoodratioisproposed,whichintroducestheLoglikelihoodratiostatistic,andconsidersthepositiveimpacton classificationresultsbyuncommonevents,whilecontrollingthenegativeones.Itiscompared...
Likelihood ratio chi square = 8.61546 DF = 6 P = .196 The final model has generating class AGE*SEX AGE*YEAR SEX*YEAR The Iterative Proportional Fit algorithm converged at iteration 0. The maximum difference between observed and fitted marginal totals is .131 and the convergence criterion is ....
2.部分程序: function L_all = sova(rec_s, g, L_a, ind_dec) % This function implememts Soft Output Viterbi Algorithm in trace back mode % Input: % rec_s: scaled received bits. rec_s(k) = 0.5 * L_c(k) * y(k) % L_c = 4 * a * Es/No, reliability value of the channel...
13. A method of dynamic per-decoder control of log likelihood ratio (LLR) and decoding parameters in a non-volatile memory controller comprising the steps of: executing one or more instructions using at least one processor coupled to one or more error-correction decoders, wherein said one or...
algorithm is examined by computer simulations 1 Introduction The maximum likelihood (ML) estimation method introduced by Fisher [1] is one of the standard tools of statistics.Among its appealing properties are consis-tency and asymptotic e,ciency[2] .Furthermore, its asymptotic Normal distri-bution...
An optimal log-likelihood ratio(LLR) ordering algorithm used in the tree search algorithm is presented. 提出了树搜索算法中基于对数似然比信息的排序算法,给出了使用对数似然比信息排序的一般公式。5) log likelihood ratio 对数似然比 1. A expression of log likelihood ratio was proved and a equation...
here, otherwise, for some iterative decoding algorithm, like turbo decoder, which uses bit extrinsic information, Lbin(i), from previous iteration, p ( b i = 1 ) p ( b i = 0 ) = exp ( Lb i n ( i ) ) , i = 1 , 2 , 3 If ...