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The Evergreen in Red and White, Kay Steven


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Цена: 15930.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 240 шт.  
При оформлении заказа до: 2025-07-23
Ориентировочная дата поставки: конец Сентября - начало Октября
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Автор: Kay Steven
Название:  The Evergreen in Red and White
ISBN: 9780993576232
Издательство: 1889 Books
Классификация:

ISBN-10: 0993576230
Обложка/Формат: Paperback
Страницы: 310
Вес: 0.30 кг.
Дата издания: 15.01.2017
Серия: 2nd edition
Язык: English
Иллюстрации: Black & white illustrations
Размер: 130 x 198 x 18
Читательская аудитория: General (us: trade)
Рейтинг:
Поставляется из: США

Fundamentals of statistical signal processing, volume iii (paperback)

Автор: Kay, Steven M.
Название: Fundamentals of statistical signal processing, volume iii (paperback)
ISBN: 013487840X ISBN-13(EAN): 9780134878409
Издательство: Pearson Education
Рейтинг:
Цена: 191370.00 T
Наличие на складе: Невозможна поставка.
Описание: 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, and executable MATLAB code that implements all the algorithms is available for download.

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).


Fundamentals of statistical signal processing

Автор: Kay, Steven M.
Название: Fundamentals of statistical signal processing
ISBN: 0133457117 ISBN-13(EAN): 9780133457117
Издательство: Pearson Education
Рейтинг:
Цена: 188980.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.


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