Communication Systems 23. Natural Sampling

Sampling: is the process by which a continuous time continuous amplitude signal is converted into a discrete time continuous amplitude signal. There are three types of sampling: Ideal sampling, natural sampling, and flat-topped sampling. Ideal sampling, the sampling theorem, and the phenomenon of aliasing were presented in the previous lecture. This lecture focuses on natural sampling and the sampling theorem. In the next lecture, we consider Flat-topped sampling (sample and hold). Time division multiplexing (TDM) References M. P. Fitz, Fundamentals of Communications Systems, McGraw-Hill, 2007. J. G. Proakis and M. Salehi, Fundamentals of Communication Systems, Prentice Hall, 2005. J. G. Proakis and M. Salehi, Contemporary Communication Systems Using Matlab, 2nd Ed., Thomson-Engineering, 2003 S. Haykin, Communication Systems, 4th Edition, Wiley, 2000. J. D. Gibson, Principles of Digital and Analog Communications, 2nd Edition, MacMillan, 1989. M. K. Simon, S. M. Hinedi, and W. C. Lindsey, Digital Communication Techniques, Prentice Hall, 1994. R. E. Ziemer and W. H. Tranter, Principles of Communications: Systems, Modulation, and Noise, 6th Edition, Hoboken, NJ : Wiley, 2009. B.P. Lathi and Zhi Ding, Modern Digital and Analog Communication Systems, Fourth Edition, Oxford University Press, New York, 2009. L. W. Couch,II, Digital and Analog Communication Systems, 8th Edition, Pearson, 2013. Bruce Carlson, Paul B. Crilly and Janet C. Rutledge, Communication Systems: An Introduction to Signals and Noise in Electrical Communications, 4th Edition, McGraw-Hill, 2002. Nevio Benvenuto, Roberto Corvaja, Tomaso Erseghe, and Nicola Laurenti, Communication Systems: Fundamentals and Design Methods, John Wiley & Sons, 2006.