Course Content
Continuous-time and discrete-time signals and systems, and their examples; Linear systems, linear time/shift invariant systems; Impulse response, convolution, and filtering; The Fourier transform; Fourier representations of continuous-time and discrete-time signals; Lowpass, bandpass, and highpass systems; Stability and pole zero properties of linear shift invariant systems; Z- transform and Laplace transform; Sampling and reconstruction of bandlimited signals; Approximate reconstruction methods (zero-order hold); The discrete Fourier transform and the fast Fourier transform (FFT) algorithm; Implementation of discrete-time systems using FFT; Introduction to contemporary practice and examples.
Text / References
- 1 Oppenheim, A. V., Willsky, A. S., and Nawab, S. H. (1997). Signals & systems(2nd ed.). Upper Saddle River, N.J. ; New Delhi: Prentice Hall.Ziemer, R. E., Tranter, W. H., and Fannin, D. R. (1998). Signals and systems:Continuous and discrete (4th ed.). Upper Saddle River, NJ: Prentice HallHaykin S. S. and Veen B. V. (1998). Signals and Systems (1st ed.). John Wiley &Sons, Inc., New York, NY, USA.