Course Description: Frequency domain analysis. Special filtering. Linear modulation: signals, receivers, transmitters. Angle modulation systems. Sampling theorem and sampling practice. Frequency division multiplex. Calculation of signal-to-noise ratios. System comparisons. Non-major graduate credit. Prerequisite: EE 324
Topics Covered:
1.Frequency domain analysis
2.Spectral filtering,
3.Linear modulation,
4.Signals, receivers, transmitters,
5.Angle modulation systems,
6.Sampling theorem and sampling practice,
7.Basic probability theory with applications to communication systems.
Objectives: On completion of EE 421, the student will be able to do the following:
 | Name the components of a communication system and draw a block diagram. |
| Apply Fourier and z-transformations to the analysis of communication systems. |
| Characterize a bandlimited signal using the sampling theorem. |
| Find the baseband equivalent signal of a bandpass signal using the Hilbert transform. |
| Recognize and understand common modulation schemes for continuous-wave modulation including amplitude modulation, frequency modulation and phase modulation. |
| Be able to describe the implementation and effect of basic demodulation techniques for continuous-wave modulation. |
| Recognize and understand common analog pulse modulation schemes including pulse-amplitude modulation, pulse-width modulation, and pulse-position modulation. |
| Recognize and understand common digital pulse modulation schemes including delta modulation and pulse-code modulation. |
| Understand the axioms of probability theory and the relationship of probability theory to the relative-frequency of occurrence of random events. |
| Understand the concepts of a random variable, probability density function, probability mass function, independence, expectation, conditional probability, and conditional expectation and be able to use them to solve simple probabilistic problems involving communication applications. |
Page last updated: 10/30/01