基于原子库结构特性的信号稀疏分解
Sparse Decomposition Based on StructuralProperties ofAtom Dictionary
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摘要: 在matching pursuit (MP)方法的基础上,利用信号稀疏分解中使用的过完备原子库结构特性,提出了一 种新的信号稀疏分解算法。新算法兼顾了稀疏分解过程中计算量和存储量,信号稀疏分解的速度是常规的MP 方法的15. 9倍.实验结果证明了算法的有效性.Abstract: A new sparse decomposition algorithm was proposed bymodifyingmatching pursuit (MP) andmaking fulluse of the structural properties of the over-complete atom dictionary in signal sparse decomposition. The new algorithm deliberately balances the computing speed and required memory. The speed of the new algorithm is 15. 9 times faster than that of the conventionalMP algorithm. Experimental results verify the effectiveness of the proposed algorithm.
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Key words:
- signal processing /
- sparse representation /
- sparse decomposition /
- MP /
- atom dictionary /
- structural properties
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