menu
{ "item_title" : "Fundamentals of Adaptive Signal Processing", "item_author" : [" Aurelio Uncini "], "item_description" : "Discrete-Time Signals and Circuits Fundamentals.- Introduction to Adaptive Signal Processing.- Optimal Linear Filter Theory.- Least Squares Method.- First Order Adaptive Algorithms.- Second Order Adaptive Algorithms.- Block and Transform Domain Algorithms.- Linear Prediction and Recursive Order Algorithms.- Discrete Space-Time Filtering.- Appendix A: Linear Algebra Foundation.- Appendix B: Non Linear Programming Fundamentals.-Appendix C: Random Variables, Stochastic Processes and Estimation Theory.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/902/806/3319028065_b.jpg", "price_data" : { "retail_price" : "119.99", "online_price" : "119.99", "our_price" : "119.99", "club_price" : "119.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Fundamentals of Adaptive Signal Processing|Aurelio Uncini

Fundamentals of Adaptive Signal Processing

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Discrete-Time Signals and Circuits Fundamentals.- Introduction to Adaptive Signal Processing.- Optimal Linear Filter Theory.- Least Squares Method.- First Order Adaptive Algorithms.- Second Order Adaptive Algorithms.- Block and Transform Domain Algorithms.- Linear Prediction and Recursive Order Algorithms.- Discrete Space-Time Filtering.- Appendix A: Linear Algebra Foundation.- Appendix B: Non Linear Programming Fundamentals.-Appendix C: Random Variables, Stochastic Processes and Estimation Theory.

This item is Non-Returnable

Details

  • ISBN-13: 9783319028064
  • ISBN-10: 3319028065
  • Publisher: Springer
  • Publish Date: January 2015
  • Dimensions: 9.21 x 6.14 x 1.56 inches
  • Shipping Weight: 2.63 pounds
  • Page Count: 704

Related Categories

You May Also Like...

    1

BAM Customer Reviews