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Probability, Random Variables and Stochastic Processes (4th Edition)

Author(s): Athanasios Papoulis, S. Unnikrishna Pillai
Binding: Paperback
Paper Quality: News Paper
Category: Engineering / Mathematics / Signal Processing
Recommended For: Advanced undergraduate and graduate students in electrical engineering, communications, and applied mathematics; also ideal for researchers and GATE/GRE aspirants.

Key Points

  • Classic Reference – One of the most authoritative and widely cited textbooks on probability and stochastic processes in engineering.

  • Deep Theoretical Coverage – Offers rigorous mathematical treatment of probability theory, random variables, and stochastic processes with clarity.

  • Focus on Applications – Emphasizes concepts relevant to communication systems, signal processing, and control systems.

  • Logical Progression – Begins with basic probability, then covers random variables, joint distributions, stochastic processes, and linear systems.

  • Real-World Relevance – Includes engineering applications in filtering, noise analysis, modulation, and estimation.

  • Advanced Level Text – Best suited for students with a strong foundation in calculus and linear algebra.

  • Exercises and Examples – Provides numerous theoretical and application-based problems to enhance understanding and problem-solving skills.

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Writer                 ✤           Athanasios Papoulis (Author), S Unnikrishna Pillai (Author)

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