Credits: 3

Description

Prerequisite: ENEE322, ENEE324; and completion of all lower-division technical courses in the EE curriculum.
Fourier series, Fourier transforms and linear system analysis; random signals, autocorrelation functions and power spectral densities; analog communication systems: amplitude modulation, single-sideband modulation, frequency and phase modulation, sampling theorem and pulse-amplitude modulation; digital communication systems pulse-code modulation, phase-shift keying, differential phase shift keying, frequency shift keying; performance of analog and digital communication systems in the presence of noise.ENEE majors (09090) only.

Semesters Offered

Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024

Learning Objectives

  • Understand the fundamentals of point-to-point communication link design and analysis
  • Develop the basic ideas behind the processes of sampling and quantization
  • Appreciate the comparative merits of different modulation/demodulation, signal processing and error control schemes in analog and digital communication systems
  • Analyze noisy information-bearing signals using frequency and time domain methods

Topics Covered

  • Amplitude modulation: conventional AM, suppressed carrier AM (DSB-SC), single-sideband AM (SSB) and vestigial sideband AM (VSB) – Time and frequency representations of a signal, bandwidth requirements, power efficiency, coherent and envelope detection
  • Frequency modulation: time/frequency representation, bandwidth requirements, demodulation techniques
  • Performance of AM and FM in the presence of noise
  • Sampling: the Shannon-Nyquist criterion for exact reconstruction of band-limited signals
  • Quantization: uniform quantization, companding and other quantization techniques
  • Pulse code modulation (PCM) and digital telephony
  • An introduction to digital modulation – phase shift keying (PSK), frequency shift keying (FSK), amplitude shift keying (ASK)
  • Optional topics: introduction to Information Theory; data compression; inter-symbol interference and equalization; error control codes