Communication Systems

(3-0-0-3)

CMPE Degree: This course is Selected Elective for the CMPE degree.

EE Degree: This course is Selected Elective for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Groups / Course Categories: Threads / ECE Electives

Course Coordinator: Brian Michael Beck

Prerequisites: (ECE 3020 [min C] or ECE 3084 [min C]) and (CEE 3770 [min D] or ISYE 3770 [min D] or MATH 3770 [min D] or MATH 3670 [min D] or ECE 3077 [min D])

Catalog Description

To present the fundamentals of modern digital communication systems and evaluate their performance with realistic channel models.

Textbook(s)

Digital Communication Systems

Course Outcomes

Work with the basics of probability and random processes, including ensemble and time averaging, deriving auto-correlation functions and power spectra, and the filtering of random processes.

Describe fundamental elements and processes in digital transmission systems including matched filtering, base-band pulse signaling, and noise.

Describe band-pass signals, systems, and signal space representations.

Implement various types of binary and M-ary digital modulation schemes.

Evaluate the performance of digital signaling on additive white Gaussian noise channels with optimal detectors.

Strategic Performance Indicators (SPIs)

N/A

Topic List

  1. Signals and Systems Concepts
    1. Fourier series and Fourier transform
    2. LTI system properties
    3. Hilbert transform
    4. Pre-envelope and complex baseband representations
    5. Canonical form of bandpass signals
  2. Analog linear modulation theory
    1. Double sideband suppressed carrier
    2. Single sideband
    3. Vestigial sideband (tentatively)
  3. Probability and Bayesian Inference
    1. Review of probability theory
    2. Parameter estimation
    3. Hypothesis test
  4. Baseband Pulse Modulation
    1. PAM
    2. Quantization
    3. PCM
    4. Line Codes
  5. Random Processes
    1. Strict and WS stationarity
    2. WSS through LTI systems
    3. PSD
    4. Gaussian processes
    5. Wideband and narrowband noise processes
  6. The AWGN channel
    1. Signal space representation
    2. Vectorization of the AWGN channel
    3. Optimum receivers under coherent detection
    4. AWGN bounds on probability of error
    5. Phase-shift keying under coherent detection
    6. Frequency shift keying (time permitting)