Probability, Random Variables, and Random Signal Principles Peyton Z. Peebles Jr.

Probability, Random Variables, and Random Signal Principles by Peyton Z. Peebles Jr. is a comprehensive and clear introduction to the core concepts of probability theory and its applications in electrical engineering. This fourth revised edition expands on previous versions by including important updates in discrete-time random processes and digital signal processing, reflecting the evolving needs of modern engineering students.

The book covers a broad range of topics, starting with foundational probability concepts, then moving into random variables, joint distributions, and stochastic processes. It also examines linear systems with random inputs, highlighting how theory connects to real-world signal processing challenges. Peebles organizes the material logically, making complex ideas more digestible through well-structured explanations and practical examples.

One of the books strengths is its inclusion of nearly 900 exercises that encourage active learning and reinforce understanding. These problems range from fundamental drills to more complex applications, enabling students to develop both conceptual knowledge and problem-solving skills.

Widely used in undergraduate engineering courses, this edition prepares readers to apply probability principles effectively in their studies and future careers. With its balanced combination of theory, examples, and practice, Probability, Random Variables, and Random Signal Principles remains a trusted resource for mastering the essential tools of random processes and signals in engineering.