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Compressed Sensing

Overview of attention for book
Cover of 'Compressed Sensing & Sparse Filtering'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Compressed Sensing & Sparse Filtering
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    Chapter 2 The Geometry of Compressed Sensing
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    Chapter 3 Sparse Signal Recovery with Exponential-Family Noise
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    Chapter 4 Nuclear Norm Optimization and Its Application to Observation Model Specification
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    Chapter 5 Nonnegative Tensor Decomposition
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    Chapter 6 Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks
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    Chapter 7 Sparse Nonlinear MIMO Filtering and Identification
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    Chapter 8 Optimization Viewpoint on Kalman Smoothing with Applications to Robust and Sparse Estimation
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    Chapter 9 Compressive System Identification
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    Chapter 10 Distributed Approximation and Tracking Using Selective Gossip
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    Chapter 11 Recursive Reconstruction of Sparse Signal Sequences
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    Chapter 12 Estimation of Time-Varying Sparse Signals in Sensor Networks
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    Chapter 13 Sparsity and Compressed Sensing in Mono-Static and Multi-Static Radar Imaging
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    Chapter 14 Structured Sparse Bayesian Modelling for Audio Restoration
  16. Altmetric Badge
    Chapter 15 Sparse Representations for Speech Recognition
Attention for Chapter 5: Nonnegative Tensor Decomposition
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Chapter title
Nonnegative Tensor Decomposition
Chapter number 5
Book title
Compressed Sensing & Sparse Filtering
Published by
Springer, Berlin, Heidelberg, January 2014
DOI 10.1007/978-3-642-38398-4_5
Book ISBNs
978-3-64-238397-7, 978-3-64-238398-4
Authors

N. Hao, L. Horesh, M. E. Kilmer, Hao, N., Horesh, L., Kilmer, M. E., Kilmer, M. E.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Postgraduate 2 18%
Student > Ph. D. Student 1 9%
Professor > Associate Professor 1 9%
Other 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Mathematics 2 18%
Computer Science 2 18%
Engineering 2 18%
Unknown 5 45%

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