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PEARSON EDUCATION Pearson Fundamentals of Statistical Signal Processing Vol 3

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Description

Master the transition from theory to implementation with Fundamentals of Statistical Signal Processing, Volume 3: Practical Algorithm Development. Written by Steven M. Kay, this textbook serves as a modern guide for engineers and students looking to develop high-performing signal processing algorithms. This final volume in the acclaimed three-volume series builds upon the theoretical foundations established in the first two books. Instead of focusing solely on math, Kay provides the practical knowledge needed to convert estimation and detection theories into functional software algorithms. This approach helps readers build the intuition and expertise required to design algorithms that work effectively on digital computers. Whether you are studying advanced computing or working in professional software design, this guide offers the necessary steps to bridge the gap between statistical signal processing concepts and real-world digital implementation. It is an essential resource for anyone serious about mastering practical algorithm development.

Key Features

Bridge the gap between statistical signal processing theory and software implementation for digital computers.

Build strong intuition and expertise in designing well-performing algorithms for real-world applications.

Expand your knowledge by building on the comprehensive theoretical coverage found in volumes one and two.

Learn to convert estimation and detection theories into functional software algorithms.

Gain practical guidance on developing algorithms that solve complex signal processing problems.

Product Specifications

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

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