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Course number and title: EE230B Digital Communication Systems
Credits: 4
Instructor(s)-in-charge: G. Pottie (pottie@ee.ucla.edu)
Course type: Lecture
Required or Elective: A Signals and Systems course.
Course Schedule:
Lecture: 4hrs/week.
Outside Study: 8hrs/week.
Office Hours: 2hrs/week.
 
Course Assessment:
Homework: 8 assignments.
Project Reports: 2 projects.
Exams: 1 midterm and 1 final examination.
 
Grading Policy: Typically, 10% homework, 15% project(s), 45% highest of midterm and final, 30% lowest of midterm and final.
Course Prerequisites: EE230A.
Catalog Description: Concepts and implementations of digital signal processing algorithms in communication and radar systems. Optimum dynamic range scaling for random data. Algorithms for fast convolution and transform. Spectral estimation algorithms. Parallel processing, VLSI algorithms, and systolic arrays.  
Textbook and any related course material:
Digital Communications Theory, a reader by M. Fitz.
 
Course Website
Topics covered in the course:
Bandpass signals and bandpass noise.
Maximum likelihood word demodulators and maximum likelihood bit demodulators.
Reduced complexity demodulators; orthogonal modulations; Spectrally efficient orthogonal modulations.
Frequency selective channels.
Multi-user detection.
Equalization.
Orthogonal modulations with memory.
Performance of sequence demodulators.
Synchronization with known signals.
Synchronization with modulated signals.
Will this course involve computer assignments? NO Will this course have TA(s) when it is offered? NO

:: Last modified: September 2011 by C. Chiuco ::

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