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.
The following links will take you to the library holdings for each topic. Once the page opens, you can narrow the results by utilizing the filters on the left side of the page, including "peer-reviewed," "full text online," and "publication date."