Description: Adaptive Filtering by Alexander D. Poularikas Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area—the least mean square (LMS) adaptive filter. This largely self-contained text:Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributionsExplains how to find the eigenvalues and eigenvectors of a matrix and the properties of the error surfacesExplores the Wiener filter and its practical uses, details the steepest descent method, and develops the Newtons algorithmAddresses the basics of the LMS adaptive filter algorithm, considers LMS adaptive filter variants, and provides numerous examplesDelivers a concise introduction to MATLAB®, supplying problems, computer experiments, and more than 110 functions and script filesFeaturing robust appendices complete with mathematical tables and formulas, Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems. Author Biography Alexander D. Poularikas is chairman of the electrical and computer engineering department at the University of Alabama in Huntsville, USA. He previously held positions at University of Rhode Island, Kingston, USA and the University of Denver, Colorado, USA. He has published, coauthored, and edited 14 books and served as an editor-in-chief of numerous book series. A Fulbright scholar, lifelong senior member of the IEEE, and member of Tau Beta Pi, Sigma Nu, and Sigma Pi, he received the IEEE Outstanding Educators Award, Huntsville Section in 1990 and 1996. Dr. Poularikas holds a Ph.D from the University of Arkansas, Fayetteville, USA. Details ISBN 1482253356 ISBN-13 9781482253351 Title Adaptive Filtering Author Alexander D. Poularikas Format Paperback Year 2014 Pages 364 Publisher Taylor & Francis Inc GE_Item_ID:139831515; 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: 108.97 USD
Location: Fairfield, Ohio
End Time: 2025-01-06T06:01:53.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781482253351
Book Title: Adaptive Filtering
Number of Pages: 363 Pages
Language: English
Publication Name: Adaptive Filtering : Fundamentals of Least Mean Squares with Matlab®
Publisher: CRC Press LLC
Item Height: 0.8 in
Publication Year: 2014
Subject: Signals & Signal Processing, Mathematical & Statistical Software, Probability & Statistics / General, Electrical
Item Weight: 19.2 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.2 in
Author: Alexander D. Poularikas
Item Width: 6.1 in
Format: Trade Paperback