Course OutlineOverviewThe previous course, EE102A, introduced Fourier based methods for analyzing signals. These are powerful tools that have broad application in communications, imaging, and signal processing in general. However, there are important problems which Fourier methods fail, such as analyzing systems that can grow (populations, bank accounts) or systems that are potentially unstable (aircraft, robot arm, amplifiers). These can be solved with the Laplace transform (LT) in continuous time, or the Z-transform (ZT) in discrete time. In this course we will study the LT and ZT, and the additional powerful signal analysis tools they enable. ExamsThe exams will be open book and open notes. OutlineSection 1: Review of Fourier Representations
Section 2: Signal Sampling and Reconstruction
Section 3: FIR Filters
Section 4: Discrete Fourier Transform (DFT)
Section 5: Laplace Transform (LT)
Section 6: Feedback Systems
Section 7: Z Transform (ZT)
Section 8: Infinite Impulse Response Filters (IIR)
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