Probability and Random Processes by Scott Miller (Author)

Probability and Random Processes

Author(s): Scott Miller, Donald Childers
Binding: Paperback
Paper Quality: White Paper
Category: Engineering / Mathematics / Signal Processing
Recommended For: Electrical and electronics engineering students, applied mathematics learners, and those preparing for university exams, GATE, GRE, or advanced signal processing courses.

Key Points

• Rigorous Mathematical Foundation – Offers a solid base in probability theory, random variables, and stochastic processes tailored for engineering applications.

• Engineering Applications – Emphasizes use cases in electrical engineering, especially communications and signal processing.

• Comprehensive Topics – Covers discrete and continuous random variables, expectation, conditional probability, correlation, power spectral density, and Markov processes.

• Illustrative Examples – Includes numerous worked-out examples and problems designed to help students apply theory to practical engineering problems.

• Clear Theoretical Explanations – Balances mathematical rigor with intuitive explanations, making it accessible to engineering students with limited math background.

• Advanced Topics Included – Suitable for graduate-level studies, with sections on linear systems, random signals, and noise analysis.

• Widely Used in Academia – Adopted in engineering curricula globally for courses on probability theory and stochastic processes.

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Writer                 ✤            Scott Miller (Author), Donald Childers (Author)