Signal Processing Refresher — Review basic techniques for representing and processing digital signals, with an emphasis on methods commonly used in sensor-processing systems, such as communications, radar, and infrared systems. Understand continuous and and discrete signals and transforms, as well as the representation and properties of noise. Design and apply digital filters, discover basic data compression methods, and explore the important matched-filter concept from multiple viewpoints. You'll have the chance to use MATLAB™ to demonstrate concepts and properties. Recommended prerequisite(s): Familiarity with basic calculus, linear algebra, and complex numbers and arithmetic is strongly recommended.
No prereqs
Taught by nobody this semester.