ECE 3512: Signals - Continuous and Discrete

Joseph Picone
Department of Electrical and Computer Engineering
Temple University

office: EA 703A
email: picone@temple
phone: 215-204-4841 (ofc), 662-312-4209 (cell)

Course Description: This course covers continuous time signal models, convolution, and superposition integral and impulse response. Students also study Fourier series and periodic signals, Parseval's theorem, energy spectral density, Fourier transform and filters, discrete time signals, difference equations, discrete Fourier transform, and discrete convolution.

Course Overview: Signals is an introductory course that develops mathematical techniques for modeling continuous and discrete signals and linear systems. Analog and digital signal processing theory is taught simultaneously to emphasize the power of these mathematical abstractions. Classroom lectures are supplemented by computer simulations that reinforce significant concepts. Topics covered in this course include basic linear system theory, time domain methods such as convolution, frequency domain methods such as the Fourier transform, the Z-transform, and filter design and implementation. This is a four credit hour lecture course that includes three hours of lecture and one credit hour of recitation.

Student Outcomes (SO):
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