Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signal

Understanding the nature of random signals and noise is critically important for detecting signals and for reducing and minimizing the effects of noise in appli

In this updated edition the main thrust is on applied Kalman filtering. Chapters 1-3 provide a minimal background in random process theory and the response of l

Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, c

Describes the leading techniques for analyzing noise. Discusses methods that are applicable to periodic signals,aperiodic signals, or random processes over fini