Digital Signal Processing

Catalog description

Introduction to the fundamentals of Digital Signal Processing: discrete-time principles, sampling theorem, discrete Fourier transform, fast Fourier transforms, time and frequency domain considerations, Z-transform, solution of difference equations and design of digital filters. Typically offered Spring. Prerequisite(s): ECET 38400 FOR LEVEL UG WITH MIN. GRADE OF D- AND ECET 20901 FOR LEVEL UG WITH MIN. GRADE OF D- AND MA 16021 FOR LEVEL UG WITH MIN. GRADE OF D- Course Learning Outcomes 1. Determine the filter transfer function that meets the given specification when given a filter specification. 2. Realize the analog active filter with a selected circuit topology when given a filter transfer function determined based on its frequency domain specification. 3. Analyze its frequency spectrum when given an analog information-carrying signal, and use it to determine the appropriate sampling rate, specifications of an anti-aliasing filter for ADC channel, and specifications for the anti-image filter to ensure recovery of the analog signal after the DAC channel. 4. Analyze their spectra using the DFT/FFT algorithm with a software tool such as MATLAB when given the digital signals such as recorded speech, audio, ECG data, and generated data. 5. Develop its steady-state sinusoidal frequency response and explore its periodicity when given the digital filter transfer function H(z); determine the difference equation for the filter realization such as the direct form I and direct form II; given the digital signal input, perform digital filtering and verify the spectral effects using a software tool such as MATLAB or DSP board. 6. Design an FIR filter using the windowing method and an optimal design such as the Parks-McClellan method when given a set of frequency domain specifications; verify the design results with a software tool such as MATLAB or DSP board. 7. Design an IIR filter using the bilinear z-transform when given a set of frequency domain specifications; verify the design results with a software tool such as MATLAB or DSP board. 8. Implement the digital filters in real-time using a selected digital signal processor and float-point format when given designed digital filters including FIR and IIR filters. 9. Create professionally documented programs, written reports, and oral presentations when given technical documentation guidelines. View Class Schedule