Compressed Sensing & Sparse Filtering

Author:   Avishy Y. Carmi ,  Lyudmila Mihaylova ,  Simon J. Godsill
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2014
ISBN:  

9783662508947


Pages:   502
Publication Date:   27 August 2016
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $448.77 Quantity:  
Add to Cart

Share |

Compressed Sensing & Sparse Filtering


Add your own review!

Overview

Full Product Details

Author:   Avishy Y. Carmi ,  Lyudmila Mihaylova ,  Simon J. Godsill
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2014
Dimensions:   Width: 15.50cm , Height: 2.60cm , Length: 23.50cm
Weight:   7.723kg
ISBN:  

9783662508947


ISBN 10:   366250894
Pages:   502
Publication Date:   27 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction to Compressed Sensing and Sparse Filtering.- The Geometry of Compressed Sensing.- Sparse Signal Recovery with Exponential-Family Noise.- Nuclear Norm Optimization and its Application to Observation Model Specification.- Nonnegative Tensor Decomposition.- Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks.- Sparse Nonlinear MIMO Filtering and Identification.- Optimization Viewpoint on Kalman Smoothing with Applications to Robust and Sparse Estimation.- Compressive System Identification.- Distributed Approximation and Tracking using Selective Gossip.- Recursive Reconstruction of Sparse Signal Sequences.- Estimation of Time-Varying Sparse Signals in Sensor Networks.- Sparsity and Compressed Sensing in Mono-static and Multi-static Radar Imaging.- Structured Sparse Bayesian Modelling for Audio Restoration.- Sparse Representations for Speech Recognition.

Reviews

From the reviews: This book reports on the application of compressed sensing. ... This book presents cutting-edge research on one of the newest signal processing disciplines. It should be of great value to research scientists in related fields, and it could help research and development engineers evaluate the impact these new methods could have in their work. (Vladimir Botchev, Computing Reviews, February, 2014)


From the reviews: This book reports on the application of compressed sensing. ... This book presents cutting-edge research on one of the newest signal processing disciplines. It should be of great value to research scientists in related fields, and it could help research and development engineers evaluate the impact these new methods could have in their work. (Vladimir Botchev, Computing Reviews, February, 2014)


From the reviews: “This book reports on the application of compressed sensing. … This book presents cutting-edge research on one of the newest signal processing disciplines. It should be of great value to research scientists in related fields, and it could help research and development engineers evaluate the impact these new methods could have in their work.” (Vladimir Botchev, Computing Reviews, February, 2014)


Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List