Portland State University

Continuous-time and discrete-time Fourier series, continuous-time Fourier transform, discrete-time Fourier transform, fast Fourier transform, sampling, aliasing, communications, modulation, discrete-time filters.

Prerequisite: ECE 222.

ECE 223/203 for Summer 2008.

This is the IIIST section for this course.

Unified introduction to the theory, implementation, and applications of statistical signal processing methods. Focus on estimation theory, random signal modeling, characterization of stochastic signals and systems, and nonparametric estimation. Designed to give a solid foundation in the underlying theory balanced with a discussion of the practical advantages and limitations of nonparametric estimation methods.

Introduction to continuous time and discrete time systems. Thorough exposure to the Laplace transform for circuit and system analysis, transfer functions, bode plots, analog filters, and two-port networks.

Prerequisite: ECE 221, ECE 201; Mth 256 or concurrent.

Section for on-campus students.

Section for IIIST students.