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Random Data provides first-rate, practical tools for dynamic data and statistical methods for engineering problems. This revised bestseller presents the latest developed procedures and a complete rewrite of the Fast Fourier Transforms of applied fields. Plus, this resource includes a new chapter on frequency domain techniques. The updated book explores novel techniques on modern digital data storage, oversampling, and temporal moments. With new problem sets and examples, this guide is the ideal text and reference for students studying random data analysis theory and applications.