Random Process Exercises

Author: Zhou Yinqing
Publisher:
Publish Date: 2004-09-01
Features: This book is well-structured, with clear concepts and easy-to-understand language, making it suitable for engineering students studying stochastic process theory and as a reference for relevant technical personnel learning stochastic process theory. The book consists of 7 chapters, covering topics such as the basic concepts of stochastic processes, linear transformations of stochastic processes, narrowband stochastic processes, Gaussian stochastic processes, Poisson stochastic processes, Markov processes, and estimation theory. Each chapter is divided into three parts: summary, examples, and exercises. The summary section provides an in-depth overview of the key content of each chapter and the main points readers should master. The book includes approximately 180 exercises selected for important topics in each chapter. Answers to some of the exercises are provided at the end of the book.