Description
This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics include various properties of signals and systems, convolution, the Fourier transform, sampling theorem, z-transform, spectral analysis, filter design, and system identification.
Prerequisites
- Prerequisite(s): BIT 1200 and BIT 1201 . Restricted to students in the B.I.T. degree program.
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for PLT 2010 (no longer offered).
- Prerequisite(s): BIT 1200 and BIT 1201 . Restricted to students in the B.I.T. degree program.
- Lectures three hours a week, tutorial one hour a week.
Reference text in its original language
This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics include various properties of signals and systems, convolution, the Fourier transform, sampling theorem, z-transform, spectral analysis, filter design, and system identification.
- Prerequisite(s): BIT 1200 and BIT 1201 . Restricted to students in the B.I.T. degree program.
- Precludes additional credit for Precludes additional credit for PLT 2010 (no longer offered).
- Lectures three hours a week, tutorial one hour a week.
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/OSS/