Description
It covers linear continuous-time, discrete-time signal processing, sampling theorem, quantization, aliasing, quantization, behavior of sampled-data systems, z-transform, FFT, and basic filter design, equipping students with foundational tools for analyzing and designing digital signal processing systems.
Prerequisites
- Prerequisite(s): MATH 3705 .
Conditions and arrangements
- Prerequisite(s): MATH 3705 .
- 3 hours lecture a week, 2 hours laboratory a week (software tools only—such as MATLAB—with no hardware components involved).
Reference text in its original language
It covers linear continuous-time, discrete-time signal processing, sampling theorem, quantization, aliasing, quantization, behavior of sampled-data systems, z-transform, FFT, and basic filter design, equipping students with foundational tools for analyzing and designing digital signal processing systems.
- Prerequisite(s): MATH 3705 .
- 3 hours lecture a week, 2 hours laboratory a week (software tools only—such as MATLAB—with no hardware components involved).
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/MECT/