Modern Digital and Analog Communication Systems 4th Edition by B. P. Lathi and Zhi Ding presents complete topics for students with or without prior data of probability theory. Only after laying a strong foundation in how communication systems work do the authors delve into analyses of communication systems that require probability theory and random processes.
Revised, expanded, and up to date all through, the fourth edition reflects the various technological advances in the subject, resembling OFDM and CDMA, pervasive communication functions similar to cellular techniques, wireless LAN programs, and DSL modem technology services. Retaining the very good pedagogical model of the first three editions, the authors first introduce the fundamentals of signals and methods and core communication topics; they then present the tools important to the design and analysis of digital communications.
Featuring a seamless mix of mathematics and heuristics, carefully crafted examples to clarify mathematical abstractions, and new and up to date MATLAB workouts, this text supplies a radical coverage of modern communication system idea and software that's simply accessible to students. There is new discussion of technological advances and functions with new chapters (12 and 13) on unfold spectrum communications and frequency selective channels and OFDM systems. New and updated MATLAB examples are presented.
This text also provides new material on such matters as code division a number of-access (CDMA), orthogonal frequency division multiplexing (OFDM), equalization, gentle decoding, turbo codes, and low-density parity test (LDPC) codes. Versatile group (outlined within the preface) accommodates quite a lot of course structures, together with one-semester, two-semester, one-quarter, and two-quarter.
It is accessible to students with no background in probability theory. Plentiful real-world examples are relevant to college students' everyday lives. It gives intuitive insights--quite than simply proofs--wherever potential, as well as heuristic explanations of theoretical results.
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