COURSES

Elec 201 - Signal Processing

Introduction to discrete and continuous time signals and systems. Time-domain signal representations, impulse response of linear time-invariant (LTI) systems, and convolution. Frequency domain signal representations, frequency response of LTI systems, and Fourier analysis. Filtering of continuous and discrete time signals. Sampling and discrete time processing of analog signals. Laplace-transform domain analysis of continuous-time LTI systems. Exercises using MATLAB.
Credits: 4  Prerequisites: MATH. 203

Elec 303 - Digital Signal Processing

Review of discrete-time Fourier transform and sampling theory. Interpolation and decimation. Sampling in the frequency domain. The discrete Fourier transform and FFT, computation of FFT, Fourier analysis of signals using the FFT, spectral estimation and windows. The Z-transform, digital filtering, minimum-phase and generalized linear phase systems, structures for digital filters, FIR filter design methods, IIR filter design methods.
Credits: 3   Prerequisites: ELEC. 201

Elec 406/ECOE 506 - Digital Image and Video Processing

Review of multi-dimensional sampling theory, aliasing, and quantization, fundamentals of color, human visual system, 2-D Block transforms, DFT, DCT and wavelets. Image filtering, edge detection, enhancement, and restoration. Basic video file formats, resolutions, and bit rates for various digital video applications. Motion analysis and estimation using 2D and 3D models. Motion-compensated filtering methods for noise removal, de-interlacing, and resolution enhancement. Digital image and video compression methods and standards, including JPEG/JPEG2000 and MPEG-1/2 and 4. Content-based image and video indexing and MPEG-7.
Credits: 3   Prerequisites: ELEC. 303 or consent of the instructor

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