Course Description
Introduction to Digital Signal Processing. Students will
develop an understanding of discrete-time signals and systems,
perform signal analyses in the time and frequency domains using
Z and Fourier transforms, and apply them in the design of
filters in application areas such as sound, images, and video.
Additional Requirements for Graduate Students:
Graduate students can either complete a project or answer an additional question on each exam. This additional question is specifically designed to be more challenging and will be graded at a higher standard compared to the questions assigned to undergraduate students.
Athena Title
Digital Signal Processing
Prerequisite
ELEE 4210/6210
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Student Learning Outcomes
- Students will develop an understanding of continuous- and discrete-time signals and systems.
- Students will be able to perform signal analyses in the time and frequency domains using Z- and Fourier transforms.
- Students will learn computer-aided design techniques and apply them in the design of filters in application areas such as sound, images and video.
Topical Outline
- 1. Signals in continuous-time and discrete-time systems - Concept of frequency in continuous and discrete signals / A/D
and D/A conversions.
- 2. Discrete Signals - Operations on Discrete Signals / Decimation and Interpolation / Discrete-Time Harmonics and
Sampling Theorem / Random Signals.
- 3. Time-Domain Analysis - Difference Equations / Zero-Input Response and Zero-State Response / Impulse Response / Discrete Convolution / Stability and Causality / System Response to Periodic Inputs / Periodic or Circular Convolution /
Deconvolution.
- 4. z-Transform Analysis - Poles, Zeros, and the z-Plane / Transfer Function / Inverse z-Transform / z-Transform and System Analysis.
- 5. Frequency Domain Analysis – Discrete-time Fourier Transform from z-Transform / Properties / DTFT of Discrete-Time Periodic Signals / Inverse DTFT / Frequency Response / System Analysis Using DTFT.
- 6. Digital Processing of Analog Signals - Sampling, Interpolation, and Signal Recovery / Sampling Rate Conversion / Quantization / Dynamic Range Processors.
- 7. Design of Finite Impulse Response Filters.
- 8. Design of Infinite Impulse Response Filters.
- 9. Discrete Fourier Transform and Its Applications.
