SYLLABUS
EE310a – Signals and Systems – Fall 2006
Instructor: A. S. Morse, 212 Malone Lab.,
X24295, mailto:morse@sysc.eng.yale.edu
Teaching Assistant: Ming Cao, 202B Malone
Lab., X26555 mailto:m.cao@yale.edu
Brief Summary: Concepts for the analysis of continuous and
discrete-time linear systems including convolution,
impulse and pulse responses, step responses, continuous and
discrete Fourier
transforms, frequency responses, Laplace and z-transforms. From continuous to discrete signals and back via sampling and the Nyquist sampling theorem. Introduction to
communication systems including amplitude and pulse amplitude
modulation, demodulation, and frequency and time-division
multiplexing. Introduction to feedback control including
concepts of stability and robustness.
Organization: The course meets on
Mondays and Wednesdays from
Course Text: Fundamentals of
Signals and Systems, 2nd
Edition, E. W. Kamen
and B. S. Heck, Prentice Hall, 2006
Contents:
Week 1: discrete and continuous-time
signals; definition of a linear system; modeling
with systems;
Week 2: basic properties of linear systems; overview of Matlab and Simulink
Week 3: input-output modeling using linear differential equations and linear difference equations; computer solution via Euler discretization.
Week 4: convolution of continuous and discrete signals; input-output modeling using convolution integrals and sums; responses to steps, impulses and pulses.
Week 5: Signal frequency components; Fourier series representation of periodic signals; Fourier transform; Fourier transform properties.
Week 6: Generalized Fourier transform; responses to sinusoidal inputs, periodic inputs; aperiodic inputs; ideal inputs; Bode diagrams
Week 7: Sampling; midterm exam
Week 8: Analog modulation and demodulation; simultaneous signal transmission via multiplexing;
Week 9: Discrete-time Fourier transform: discrete Fourier transform.
Week 10:
Week 11: Use of
Week 12: z-transform and their use in the
analysis of discrete-time systems.