first-rate textbook for senior or first-year graduateengineering courses in stochastic processes. A closer look,however, reveals an innovative book-rich with examples andcommonsense explanations-that demystifies theories, eliminatesambiguities, and provides a solid, up-to-date introduction to thisimportant subject.Departing from the classical texts of the sixties and seventies inits coverage of random signals and data processing, Introduction toRandom Processes in Engineering addresses the latest advances incommunication, control engineering, and signal processing byallowing all processes to be multidimensional with an emphasis ondiscrete-time processes and systems.Unlike current texts, this volume provides a strong mathematicalperspective for its engineering topics without getting bogged downin technicalities. It employs mathematics to achieve clarity andprecision, and at times even uses the theorem/proof style toemphasize mathematical fine points. This approach is particularlyadvantageous when dealing with random data, and when building anunderstanding of the many computer programs routinely used, itstheoretical principles, and the results it generates.Assuming a senior-level background in probability theory and someacquaintance with linear systems and signals, the bookprovides:* A review chapter of the formulas used later in the book* Illustrative examples* Emphasis in simulation techniques* Problems accompanying each chapter that often introduce thestudent to other relevant material* Notes and comments following each chapter that encourageadditional reading as well as historical explorations in thefield* Tips for using the material at various levels ofinstructionWith its logical and systematically ordered presentation of thematerial, as well as its fresh approach, Introduction to RandomProcesses in Engineering is both a superior textbook and a valuablereference for practicing engineers and researchers in the field.

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