• An introduction to stationary processes and discrete parameter Markov processes.
• Provides a comprehensive treatment of the theory of stationary processes and discrete parameter Markov processes.
• Includes numerous exercises and examples to illustrate the theory.
• Suitable for graduate students and researchers in probability theory and stochastic processes.
• Covers a wide range of topics, including:

- The basic theory of stationary processes - The spectral representation of stationary processes - The theory of discrete parameter Markov processes - The applications of stationary processes and discrete parameter Markov processes in various fields