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Analog Communication Theory:
A Text for EE501
Michael P. Fitz The Ohio State University fitz.7@osu.edu Fall 2001
2 Note to Students. This text is an evolving entity. Please help make an OSU education more valuable by providing me feedback on this work. Small things like catching typos or big things like highlighting sections that are not clear are both important. My goal in teaching communications (and in authoring this text) is to provide students with 1. the required theory, 2. an insight into the required tradeoffs between spectral efficiency, performance, and complexity that are required for a communication system design, 3. demonstration of the utility and applicability of the theory in the homework problems and projects, 4. a logical progression in thinking about communication theory. Consequently this textbook will be more mathematical than most and does not discuss a host of examples of communication systems. Matlab is used extensively to illustrate the concepts of communication theory as it is a great visualization tool. To me the beauty of communication theory is the logical flow of ideas. I have tried to capture this progression in this text. This book is written for the modern communications curriculum. Most modern communications curriculum at the undergraduate level have a networking course hence no coverage is given for networking. For communications majors it is expected that this course will be followed by a course in digital communications (EE702). The course objectives for EE501 that can be taught from this text are (along with their ABET criteria) 1. Students learn the bandpass representation for carrier modulated signals. (Criterion 3(a)) 2. Students engage in engineering design of communications system components. (Criteria 3(c),(k)) 3. Students learn to analyze the performance, spectral efficiency and complexity of the various options for transmitting analog message signals. (Criteria 3(e),(k)) 4. Students learn to characterize noise in
A Text for EE501
Michael P. Fitz The Ohio State University fitz.7@osu.edu Fall 2001
2 Note to Students. This text is an evolving entity. Please help make an OSU education more valuable by providing me feedback on this work. Small things like catching typos or big things like highlighting sections that are not clear are both important. My goal in teaching communications (and in authoring this text) is to provide students with 1. the required theory, 2. an insight into the required tradeoffs between spectral efficiency, performance, and complexity that are required for a communication system design, 3. demonstration of the utility and applicability of the theory in the homework problems and projects, 4. a logical progression in thinking about communication theory. Consequently this textbook will be more mathematical than most and does not discuss a host of examples of communication systems. Matlab is used extensively to illustrate the concepts of communication theory as it is a great visualization tool. To me the beauty of communication theory is the logical flow of ideas. I have tried to capture this progression in this text. This book is written for the modern communications curriculum. Most modern communications curriculum at the undergraduate level have a networking course hence no coverage is given for networking. For communications majors it is expected that this course will be followed by a course in digital communications (EE702). The course objectives for EE501 that can be taught from this text are (along with their ABET criteria) 1. Students learn the bandpass representation for carrier modulated signals. (Criterion 3(a)) 2. Students engage in engineering design of communications system components. (Criteria 3(c),(k)) 3. Students learn to analyze the performance, spectral efficiency and complexity of the various options for transmitting analog message signals. (Criteria 3(e),(k)) 4. Students learn to characterize noise in
Bibliography: [Ae72] [BB99] M. Abramowitz and I. E. Stegun (eds). Handbook of Mathematical Functions. U. S. Department of Commerce, Washington, DC, 1972. S. Benedetto and E. Biglieri. Principles of Digital Transmission. Kluwer, New York, 1999. [ZTF89] R.E. Ziemer, W.H. Trantor, and D.R. Fannin. Signals and Systems: Continuous and Discrete. MacMillan, New York, 1989.