Data acquisition, time and frequency domain analysis, analog and discrete filter design, sampling theory, time-dependent processing, linear prediction, random signals, biomedical system modelling, and stability analysis; introduction to nonlinear systems. [3-0-0] Prerequisite: All of ELEC 371, ELEC 341, ELEC 221 and one of CPSC 260, CPSC 259 and one of STAT 251, MATH 318, MATH 302, STAT 302. This course is not eligible for Credit/D/Fail grading.
Data acquisition, time and frequency domain analysis, analog and discrete filter design, sampling theory, time-dependent processing, linear prediction, random signals, biomedical system modelling, and stability analysis; introduction to nonlinear systems. [3-0-0] Prerequisite: All of ELEC 371, ELEC 341, ELEC 221 and one of CPSC 260, CPSC 259 and one of STAT 251, MATH 318, MATH 302, STAT 302. This course is not eligible for Credit/D/Fail grading.
