Teaching

EE312 Signals & Systems I
Course Description (from the course catalog):
Continuous- and discrete-time signals and systems. Time- and frequency-characterization of signals and systems. Transform-domain methods including Fourier-, Laplace-, and z-transforms.
Taught: Every semester
Taught by me: Su’13

EE325 Signals & Systems II
Course Description (from the course catalog):
Introduction to communication systems including amplitude-, frequency-, and pulse-amplitude modulation. Introduction to control systems including linear feedback systems, root-locus analysis, Nyquist criterion. Introduction to digital signal processing including sampling, digital filtering, and spectral analysis.
Taught: Every semester
Taught by me: S’12, S’13, F’13, S’14, F’14, S’15, F’15, S’16, F’16, Su’17, F’17, S’19 syllabus

EE395 Intro to DSP
Course Description (from the course catalog):
Undergraduate treatment of sampling/reconstruction, quantization, discrete-time systems, digital filtering, Z-transforms, transfer functions, digital filter realizations, discrete Fourier transform (DFT) and fast Fourier transform (FFT), finite impulse response (FIR) and infinite impulse response (IIR) filter design, and digital signal processing (DSP) applications.
Taught: Every Fall semester
Taught by me: F’17, F’18 syllabus

EE446 Digital Image Processing
Course Description (from the course catalog):
Two-dimensional transform theory, color images, image enhancement, restoration, registration, segmentation, compression and understanding.
Taught: Every Spring semester along with EE596
Taught by me: S’14, S’15, S’16, S’17, S’19 syllabus

EE545 Digital Signal Processing II
Course Description (from the course catalog):
Non-ideal sampling and reconstruction, oversampling and noise shaping in A/D and D/A, finite word length effects, random signals, spectral analysis, multirate filter banks and wavelets, and applications.
Taught: Every Fall semester
Taught by me: F’11, F’12, F’13, F’14, F’15, F’16 syllabus

EE588 Advanced Image Processing
Course Description (from the course catalog):
Advanced topics in image processing including segmentation, feature extraction, object recognition, image understanding, big data, and applications.
Taught: Even year Fall semester
Taught by me: F’18 syllabus

EE596 Digital Image Processing
Course Description (from the course catalog):
Two-dimensional transform theory, color images, image enhancement, restoration, registration, segmentation, compression and understanding.
Taught: Every Spring semester along with EE446
Taught by me: S’14, S’15, S’16, S’17, S’19 syllabus