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Course number and title: EE230C Algorithms and Processing Communication and Radar
Credits: 4
Instructor(s)-in-charge: Not offered in 2011-12
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: Typically, 4 assignments.
Exams: 1 midterm and 1 final examination.
Design: 1 project/design.
Grading Policy: Typically, 20% homework, 25% midterm, 20% project/design, 35% 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:
K. Yao, Algorithms and Processing in Communication and Radar Systems, Instructor Notes, Available to Students in pdf Format.
Course Website
Topics covered in the course:
Introduction and motivation to spectral analysis.
Classical FFT and windowing spectral estimation techniques.
Non-parametric spectral estimation techniques.
Time-frequency and wavelet spectral analysis.
Introduction to chaotic signal processing.
Characterization of chaotic states and estimation of embedding and correlation dimensions and lyapunov exponent.
Application of chaotic and nonlinear dynamics to system applications.
Introduction to array processing in communication and radar systems.
Beamforming and optimum beamforming criteria.
Application of beamforming to source location and smart antenna.
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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