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以L1-minimization为核心的算法,近几年飞速进展,Compressive Sensing (Compressive Sampling) 已然成为数学领域和信号处理最前沿最热门的方向。最近一年多这种新形式的算法快速蔓延到模式识别界应用,论文质量高、算法效果好、而且算法一般都非常简单-To L1-minimization as the core of the algorithm, the rapid progress in recent years, Compressive Sensing (Compressive Sampling) has become the field of mathematics and signal processing the forefront of the most popular direction. Recently, more than a year this new form of pattern recognition algorithm for the rapid spread to industry applications, high-quality paper, the algorithm better, but are generally very simple algorithm
Date : 2025-12-30 Size : 15.39mb User : yuhua

可压缩传感(Compressive sensing)经典介绍,超越Nyquist采样频率。-Compressible sensor (Compressive sensing) introduced the classic, beyond the Nyquist sampling frequency.
Date : 2025-12-30 Size : 2.71mb User : alyan

关于压缩感知的图像处理合重构模型,希望对你有好处,各取所好-Good for you, each of compressed sensing image fusion reconstructed model likes
Date : 2025-12-30 Size : 2.23mb User : liuhaibo

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An introduction to compressive sampling
Date : 2025-12-30 Size : 1.09mb User : wang
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