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KU Online ECE 630: Digital Signal Processing for Automotive Engineering: Home

This graduate-level course is designed to introduce critical digital signal/image processing principles, theories, and techniques applied to a variety of automotive engineering applications.

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Digital Signal Processing for Automotive Engineering

ECE 630: Digital Signal Processing for Automotive Engineering - This graduate-level course is designed to introduce critical digital signal/image processing principles, theories, and techniques applied to a variety of automotive engineering applications. Special focus is given to autonomous driving and NVH analysis. Examples include, but not limited to, edge detection methods in traffic sign recognition and identification; Kalman filtering for vehicle state estimation; modal analysis (frequency domain) and expansion to time-frequency domain analysis of dynamic response using techniques such as wavelets and Empirical Mode Decomposition (EMD). MATLAB® will be heavily used for analysis and simulations.

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