用于ECG压缩的同步优化正交匹配追踪算法
Simultaneous Optimized Orthogonal Matching Pursuit with Application to ECG Compression
AI总结：
本研究提出同步优化正交匹配追踪的贪心策略，可逐步最优地为相似信号集找公共逼近子空间，在心电图压缩任务中于MIT-BIH心律失常数据集上取得优于现有变换类压缩方法的效果。
摘要：
本文提出了一种贪心追踪策略，可为一组相似信号的逼近寻找公共基。该策略对Optimized Orthogonal Matching Pursuit（优化正交匹配追踪）方法进行扩展，用于选择包含集合中所有信号逼近结果的子空间。该方法被称为Simultaneous Optimized Orthogonal Matching Pursuit（同步优化正交匹配追踪），具有逐步最优性，即每次迭代都最小化联合逼近的平均误差范数。将其应用于心电图压缩时，在MIT-BIH Arrhythmia数据集上，相比其他基于变换的压缩技术展现出显著的性能提升。
英文摘要：
A greedy pursuit strategy which finds a common basis for approximating a set of similar signals is proposed. The strategy extends the Optimized Orthogonal Matching Pursuit approach to selecting the subspace containing the approximation of all the signals in the set. The method, called Simultaneous Optimized Orthogonal Matching Pursuit, is stepwise optimal in the sense of minimizing at each iteration the mean error norm of the joint approximation. When applied to compression of electrocardiograms, significant gains over other transformation based compression techniques are demonstrated on the MIT-BIH Arrhythmia dataset.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
