Digital Processing of Random Signals: Theory and Methods (Dover Books on Electrical Engineering)
$23.49
Description
Book Synopsis
This excellent advanced text rigorously covers several topics related to random signal processing. Geared toward students of electrical engineering, its material is sufficiently general to be applicable to other engineering fields. It features numerous homework problems of varying difficulty, with ample hints for the more challenging problems, and solutions for those with results that reappear in later chapters.
Author Boaz Porat, Professor of Electrical Engineering at the Israel Institute of Technology (Technion), in Haifa, introduces stationary processes and discusses their structure and main properties. He proceeds to examinations of statistical estimation theory, classical spectrum estimation, and parameter estimation theory for Gaussian processes. Subsequent chapters explore autoregressive parameter estimation and its role in adaptive estimation techniques, in addition to estimation methods based on high-order statistical analysis and the time-frequency analysis of nonstationary signals. Four helpful appendixes conclude the text.
Details
Looking to advance your knowledge in random signal processing? Look no further! Digital Processing of Random Signals: Theory and Methods is the perfect guide for electrical engineering students and professionals alike. This comprehensive book covers a wide range of topics, making it applicable to various engineering fields. With its rigorous approach and ample hints for challenging problems, this is a must-have resource for those seeking an in-depth understanding of random signal processing.
Written by renowned author Boaz Porat, a distinguished professor of Electrical Engineering at the Israel Institute of Technology (Technion), this book offers a wealth of knowledge and expertise. Porat introduces stationary processes and explores their structure and properties, providing a solid foundation for further learning. The book also delves into statistical estimation theory, classical spectrum estimation, and parameter estimation theory for Gaussian processes.
One of the highlights of this book is its emphasis on practical applications and adaptive estimation techniques. Porat introduces autoregressive parameter estimation and demonstrates its role in adaptive estimation methods. Additionally, he explores estimation methods based on high-order statistical analysis and the time-frequency analysis of nonstationary signals. With numerous homework problems of varying difficulty, readers can test their understanding and apply theory to real-world scenarios.
As an added bonus, the book includes four appendixes that provide additional information and resources. Whether you're a student looking to expand your knowledge or a professional seeking to enhance your skills, Digital Processing of Random Signals: Theory and Methods is an invaluable resource that will elevate your understanding and expertise in random signal processing.
Don't miss out on this opportunity to enhance your knowledge in random signal processing. Get your copy today!
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