Fundamentals of Communications Systems

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You can rely on Fundamentals of Communications Systems for a solid introduction to physical layer communications theory, filled with modern implementations and MATLAB examples. This state-of-the-art guide covers essential theory and current engineering practice, carefully explaining the real-world tradeoffs necessary among performance, spectral efficiency, and complexity. Written by an award-winning communications expert, the book first takes readers through analog communications basics, amplitude modulations, analog angle modulation, and random processes.

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You can rely on Fundamentals of Communications Systems for a solid introduction to physical layer communications theory, filled with modern implementations and MATLAB examples. This state-of-the-art guide covers essential theory and current engineering practice, carefully explaining the real-world tradeoffs necessary among performance, spectral efficiency, and complexity. Written by an award-winning communications expert, the book first takes readers through analog communications basics, amplitude modulations, analog angle modulation, and random processes. Table of Contents Part 1: Mathematical Foundations Chapter 1: Introduction Chapter 2: Signals and Systems Review Chapter 3: Review of Probability and Random Variables Chapter 4: Complex Baseband Representation of Bandpass Signals Part 2: Analog Communication Chapter 5: Analog Communications Basic Chapter 6: Amplitude Modulation Chapter 7: Analog Angle Modulation Chapter 8: More Topics in Analog Communications Part 3: Noise in Communications Systems Chapter 9: Random Processes Chapter 10: Noise in Bandpass Communication Systems Chapter 11: Fidelity in Analog Demodulation Part 4: Fundamentals of Digital Communication Chapter 12: Digital Communication Basics Chapter 13: Optimal Single Bit Demodulation Structures Chapter 14: Transmitting More Than One Bit Chapter 15: Managing the Complexity of Optimum Demodulation Chapter 16: Spectrality Efficient Data Transmission Chapter 17: Orthogonal Modulations with Memory