£121.43

PEARSON EDUCATION Pearson Fundamentals of Statistical Signal Processing Vol 3

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Description

Master the transition from theory to practice with Fundamentals of Statistical Signal Processing, Volume 3: Practical Algorithm Development. Written by Steven M. Kay, this Pearson Education publication serves as a modern guide for developing well-performing signal processing algorithms. This final volume in the three-volume series builds upon the theoretical foundations established in the first two books. Readers will learn how to convert complex theories of statistical signal processing estimation and detection into functional software algorithms ready for implementation on digital computers. This guide helps engineers and students develop the intuition and expertise required to design effective algorithms that solve real-world problems. It is an essential resource for anyone looking to bridge the gap between mathematical theory and digital computer implementation.

Key Features

This third volume by Steven M. Kay focuses on practical algorithm development for signal processing.

Learn to convert statistical signal processing estimation and detection theories into software algorithms.

The content provides a guide for implementing algorithms on digital computers.

This Pearson Education book builds on the comprehensive theoretical coverage found in volumes one and two.

Develop the expertise needed to design well-performing algorithms for real-world applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 August 2018
Listed Since
28 September 2017

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