menu
{ "item_title" : "Time-Frequency Based Feature Extraction and Classification", "item_author" : [" Ervin Sejdic", "Igor Djurovic", "Jin Jiang "], "item_description" : "In many fields such as telecommunications, multimedia, medical technology, radar and sonar, man-machine communications, we utilize advanced signal processing techniques to extrapolate underlying information on specific problems for the purpose of decision making. Traditional signal processing approaches assume the stationarity of signals, which in practice is not often satisfied. Hence, time or frequency descriptions alone are insufficient to provide comprehensive information about such signals. On the contrary, time-frequency analysis is more suitable for non-stationary signals. Therefore, this book provides a status report of feature-based signal processing in the time-frequency domain through an overview of recent contributions. The feature considered here is energy concentration. The material covered in this book should help shed some light on this exciting topic, and should be especially useful to professionals in many fields dealing with the analysis of non-stationary signals.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/63/921/960/3639219600_b.jpg", "price_data" : { "retail_price" : "85.32", "online_price" : "85.32", "our_price" : "85.32", "club_price" : "85.32", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Time-Frequency Based Feature Extraction and Classification|Ervin Sejdic

Time-Frequency Based Feature Extraction and Classification

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

Overview

In many fields such as telecommunications, multimedia, medical technology, radar and sonar, man-machine communications, we utilize advanced signal processing techniques to extrapolate underlying information on specific problems for the purpose of decision making. Traditional signal processing approaches assume the stationarity of signals, which in practice is not often satisfied. Hence, time or frequency descriptions alone are insufficient to provide comprehensive information about such signals. On the contrary, time-frequency analysis is more suitable for non-stationary signals. Therefore, this book provides a status report of feature-based signal processing in the time-frequency domain through an overview of recent contributions. The feature considered here is energy concentration. The material covered in this book should help shed some light on this exciting topic, and should be especially useful to professionals in many fields dealing with the analysis of non-stationary signals.

This item is Non-Returnable

Details

  • ISBN-13: 9783639219609
  • ISBN-10: 3639219600
  • Publisher: VDM Verlag
  • Publish Date: December 2009
  • Dimensions: 9 x 6 x 0.59 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 260

Related Categories

You May Also Like...

    1

BAM Customer Reviews