Introduces the fundamental concepts and techniques for the modeling and analysis of discrete-time signals and linear systems. Topics include: sinusoids and complex exponential representation, Fourier series, sampling, reconstruction, discrete-time representation of signals and systems, linear time invariant (LTI) systems, finite impulse response (FIR) filters, frequency response, z-transforms, infinite impulse response (IIR) filters and Fourier analysis. MATLAB is introduced using simulation-based laboratories that explore analysis tools and their applications. Weekly hours: 3 Lecture hours and 1.5 Practicum/Lab hoursPrerequisite(s): ((GE 152 and MATH 134) or (MATH 123 and MATH 124)) and (CMPT 142 or CMPT 116 or CMPT 141). Note:Students with credit for EE 351 will not receive credit for this course.
Introduces the fundamental concepts and techniques for the modeling and analysis of discrete-time signals and linear systems. Topics include: sinusoids and complex exponential representation, Fourier series, sampling, reconstruction, discrete-time representation of signals and systems, linear time invariant (LTI) systems, finite impulse response (FIR) filters, frequency response, z-transforms, infinite impulse response (IIR) filters and Fourier analysis. MATLAB is introduced using simulation-based laboratories that explore analysis tools and their applications. Weekly hours: 3 Lecture hours and 1.5 Practicum/Lab hoursPrerequisite(s): ((GE 152 and MATH 134) or (MATH 123 and MATH 124)) and (CMPT 142 or CMPT 116 or CMPT 141). Note:Students with credit for EE 351 will not receive credit for this course.
