ENGR 055. Statistical Signal Processing

A first-course on the theory and applications of statistical signal processing. Topic will benefit students interested in the design and analysis of signal processing systems, i.e., to extract information from noisy signals - radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc. The course provides numerous examples, which illustrate both theory and applications for problems such as high-resolution spectral analysis, system identification, digital filter design, adaptive beamforming and noise cancellation, and tracking and localization.
Prerequisite: ENGR 014 and MATH 027
Natural science and engineering.
1 credit
Catalog chapter: Engineering
Department website: https://www.swarthmore.edu/engineering

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