Adapted Compressed Sensing for Effective Hardware Implementations
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Published By Springer International Publishing

9783319613727, 9783319613734
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Analog-to-Information Conversion

2017 ◽  
pp. 169-210
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti

Low-Complexity Biosignal Compression Using Compressed Sensing

2017 ◽  
pp. 211-254
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti
Keyword(s):  
Compressed Sensing ◽  
Low Complexity

From Universal to Adapted Acquisition: Rake That Signal!

2017 ◽  
pp. 57-82
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti

Security at the Analog-to-Information Interface Using Compressed Sensing

2017 ◽  
pp. 255-319
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti
Keyword(s):  
Compressed Sensing

Architectures for Compressed Sensing

2017 ◽  
pp. 139-167
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti
Keyword(s):  
Compressed Sensing

Generating Raking Matrices: A Fascinating Second-Order Problem

2017 ◽  
pp. 109-137
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti
Keyword(s):  
Second Order ◽  
Order Problem

Introduction to Compressed Sensing: Fundamentals and Guarantees

2017 ◽  
pp. 1-28
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti
Keyword(s):  
Compressed Sensing

The Rakeness Problem with Implementation and Complexity Constraints

2017 ◽  
pp. 83-108
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti
Keyword(s):  
Complexity Constraints

How (Well) Compressed Sensing Works in Practice

2017 ◽  
pp. 29-56
Author(s):  
Mauro Mangia ◽  
Fabio Pareschi ◽  
Valerio Cambareri ◽  
Riccardo Rovatti ◽  
Gianluca Setti
Keyword(s):  
Compressed Sensing
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