Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Fundamentals of Statistical Signal Processing, Volume 3 : Practical Algorithm Development, EPUB eBook

Fundamentals of Statistical Signal Processing, Volume 3 : Practical Algorithm Development EPUB

EPUB

Download - Immediately Available
Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms

In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development,author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay's three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems.

Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have "stood the test of time," offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB(R) code and verifying solutions.

Topics covered include

  • Step by step approach to the design of algorithms
  • Comparing and choosing signal and noise models
  • Performance evaluation, metrics, tradeoffs, testing, and documentation
  • Optimal approaches using the "big theorems"
  • Algorithms for estimation, detection, and spectral estimation
  • Complete case studies: Radar Doppler center frequency estimation, magnetic signal detection, and heart rate monitoring

Exercises are presented throughout, with full solutions.

This new volume is invaluable to engineers, scientists, and advanced students in every discipline that relies on signal processing; researchers will especially appreciate its timely overview of the state of the practical art. Volume III complements Dr. Kay's Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (Prentice Hall, 1993; ISBN-13: 978-0-13-345711-7), and Volume II: Detection Theory (Prentice Hall, 1998; ISBN-13: 978-0-13-504135-2).

Information

Other Formats

Save 20%

£87.29

£69.83

Download - Immediately Available
Add to Basket
Sign in to add to wishlist
 
Delivered to your inbox

to transfer to your device

eBook Help

Is this the right eBook for
my device? How do I download
this eBook? See help and FAQs pages

Information