Modern Communication System and Electronic Signal Processing: Theory Applications. An In-Depth Scientific Study

This book provides overview of modern communication systems, integrating theory and practice. It begins with mathematical foundations including stochastic processes, information theory, rate-distortion theory, and Kolmogorov complexity, forming the basis for analyzing communication limits and data representation. It then examines modulation and coding techniques such as QAM, PSK, OFDM, LDPC, and turbo codes for reliable transmission over noisy channels. Wireless channel modeling is discussed, covering path loss, fading, and statistical models like Rayleigh and Rician distributions. Multiple access methods including FDMA, TDMA, CDMA, OFDMA, and NOMA are reviewed for efficient spectrum sharing. Optical communications, RF and microwave systems, and signal processing fundamentals are also covered. Emerging technologies such as massive MIMO, terahertz systems, reconfigurable intelligent surfaces, and quantum communications are introduced. The role of machine learning in channel estimation, detection, and resource allocation is highlighted.

Pages: 108, Paperback, LAP Lambert Academic Publishing