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关于压缩感知重构算法, 压缩感知(Compressive Sensing, or Compressed Sampling,简称CS),是近几年流行起来的一个介于数学和信息科学的新方向,由Candes、Terres Tao等人提出,挑战传统的采样编码技术,即Nyquist采样定理。-Reconstruction algorithm on compressed sensing, compressive sensing (Compressive Sensing, or Compressed Sampling, referred to as CS), is popular in recent years, a range of mathematics and information science a new direction, by Candes, Terres Tao et al, challenge the traditional sample coding, that Nyquist sampling theorem.
Date : 2025-12-30 Size : 120kb User : zhongyi
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