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An Introduction to Compressed Sensing最新文献

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Chapter 1: Mathematical Preliminaries 第一章:数学基础
An Introduction to Compressed Sensing
Pub Date : 2019-01-01 DOI: 10.1016/B978-0-12-802687-8.00001-3
E. Kayacan
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引用次数: 0
Chapter 4: Concepts from Graph Theory 第四章:图论的概念
An Introduction to Compressed Sensing
Pub Date : 2019-01-01 DOI: 10.1137/1.9781611976120.ch4
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引用次数: 0
Chapter 7: Matrix Recovery and Completion 第七章:矩阵恢复和补全
An Introduction to Compressed Sensing
Pub Date : 2019-01-01 DOI: 10.1137/1.9781611976120.ch7
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引用次数: 0
Chapter 9: Optimization Algorithms 第9章:优化算法
An Introduction to Compressed Sensing
Pub Date : 2019-01-01 DOI: 10.1137/1.9781611976120.ch9
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引用次数: 0
Chapter 8: Some Recent Approaches to Vector Recovery 第八章:矢量恢复的一些最新方法
An Introduction to Compressed Sensing
Pub Date : 2019-01-01 DOI: 10.1137/1.9781611976120.ch8
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引用次数: 0
Chapter 6: Probabilistic Construction of Measurement Matrices 第六章:测量矩阵的概率构造
An Introduction to Compressed Sensing
Pub Date : 2019-01-01 DOI: 10.1137/1.9781611976120.ch6
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引用次数: 0
Chapter 2: Compressed Sensing: Problem Formulations 第2章:压缩感知:问题表述
An Introduction to Compressed Sensing
Pub Date : 2019-01-01 DOI: 10.1137/1.9781611976120.ch2
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引用次数: 0
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