Description: Compressed Sensing & Sparse Filtering by Avishy Y. Carmi, Lyudmila Mihaylova, Simon J. Godsill Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book presents fundamental concepts, methods and algorithms able to cope with undersampled data. It introduces the concept of compressive sampling, which is also called compressed sensing. Publisher Description This book is aimed at presenting concepts, methods and algorithms ableto cope with undersampled and limited data. One such trend that recently gained popularity and to some extent revolutionised signal processing is compressed sensing. Compressed sensing builds upon the observation that many signals in nature are nearly sparse (or compressible, as they are normally referred to) in some domain, and consequently they can be reconstructed to within high accuracy from far fewer observations than traditionally held to be necessary. Apart from compressed sensing this book contains other related approaches. Each methodology has its own formalities for dealing with such problems. As an example, in the Bayesian approach, sparseness promoting priors such as Laplace and Cauchy are normally used for penalising improbable model variables, thus promoting low complexity solutions. Compressed sensing techniques and homotopy-type solutions, such as the LASSO, utilise l1-norm penalties for obtaining sparse solutions using fewer observations thanconventionally needed. The book emphasizes on the role of sparsity as a machinery for promoting low complexity representations and likewise its connections to variable selection and dimensionality reduction in various engineering problems. This book is intended for researchers, academics and practitioners with interest in various aspects and applications of sparse signal processing. Details ISBN 366250894X ISBN-13 9783662508947 Title Compressed Sensing & Sparse Filtering Author Avishy Y. Carmi, Lyudmila Mihaylova, Simon J. Godsill Format Paperback Year 2016 Pages 502 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:151350612; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 212.97 USD
Location: Fairfield, Ohio
End Time: 2025-01-26T03:02:37.000Z
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ISBN-13: 9783662508947
Book Title: Compressed Sensing & Sparse Filtering
Number of Pages: Xii, 502 Pages
Publication Name: Compressed Sensing and Sparse Filtering
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2016
Subject: Signals & Signal Processing, Numerical Analysis, Applied, Mathematical Analysis
Item Height: 1 in
Type: Textbook
Item Weight: 272.4 Oz
Subject Area: Mathematics, Technology & Engineering
Author: Lyudmila S. Mihaylova
Item Length: 9.2 in
Item Width: 6.1 in
Series: Signals and Communication Technology Ser.
Format: Trade Paperback