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MTA 551E - Data Acquisition and Signal Processing

Course Objectives

1) To introduce various types of hardware used in a typical measurement chain.
2) To provide practical knowledge and experience on sampling theory, resolution and accuracy.
3) To provide practical knowledge on data acquisition and setting up a measurement system using modern tools.
4) To teach main signal processing techniques both in time and frequency domains.

Course Description

Introduction to data acquisition and signal processing. Types of signals. Components in the measurement chain. Sampling theorem, Resolution and accuracy. Time Domain Processing: Statistical analysis, correlation, convolution and digital filtering. Frequency Domain Processing: Fourier series, frequency resolution and windowing, Discrete Fourier analysis, aliasing, autospectrum, cross spectrum, Coherence, Frequency Response (Transfer) Function, Digital Filtering.

Course Coordinator
Osman Taha Şen
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