(OrthogonalMatchingPursuit(OMP)hasprovenitselftobeasignificantalgorithminimageandsignalprocessingdomaininthelastdecadetoestimatesparserepresentationsindictionarylearning.Overtheyears,effortstospeeduptheOMPalgorithmforthesameaccuracyhasbeenthroughvariantslikegeneralizedOMP(g-OMP)andfastOMP(f-OMP).AllofthesealgorithmssolveOMPrecursivelyforeachsignalsampleamong'S'numberofsamples.Thisalgorithm,rapidOMP(r-OMP),runstheloopfor'N'atoms,simultaneouslyestimatingforallsamples,and,inarealscenesinceN<<S,theproposedapproachspeedsupOMPbyseveralordersofmagnitude.)-IMDN开发者社群-imdn.cn"> (OrthogonalMatchingPursuit(OMP)hasprovenitselftobeasignificantalgorithminimageandsignalprocessingdomaininthelastdecadetoestimatesparserepresentationsindictionarylearning.Overtheyears,effortstospeeduptheOMPalgorithmforthesameaccuracyhasbeenthroughvariantslikegeneralizedOMP(g-OMP)andfastOMP(f-OMP).AllofthesealgorithmssolveOMPrecursivelyforeachsignalsampleamong'S'numberofsamples.Thisalgorithm,rapidOMP(r-OMP),runstheloopfor'N'atoms,simultaneouslyestimatingforallsamples,and,inarealscenesinceN<<S,theproposedapproachspeedsupOMPbyseveralordersofmagnitude.) - IMDN开发者社群-imdn.cn">

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RapidOMP

于 2020-12-17 发布

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说明：字典学习与快速正交匹配追踪。正交匹配追求（OMP）在过去十年中已被证明是图像和信号处理领域的重要算法，用于估计字典学习中的稀疏表示。多年来，加快 OMP 算法的精度的努力一直通过通用 OMP （g-OMP）和快速 OMP （f-OMP）等变体进行。所有这些算法都递归地求解了"S"样本数中每个信号样本的OMP。该算法，快速 OMP （r-OMP），运行"N"原子的循环，同时估计所有样本，并在自N

文件列表：

RapidOMP, 0 , 2020-12-05
RapidOMP\demo.m, 750 , 2020-12-05
RapidOMP\ILSDLA.m, 1106 , 2020-12-05
RapidOMP\KSVD.m, 1668 , 2020-12-05
RapidOMP\RapidOMP.m, 2011 , 2020-12-05
RapidOMP\run.m, 205 , 2020-12-05
RapidOMP\说明.txt, 502 , 2020-12-05

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