Statistical Signal Processing involves analyzing and modeling signals in order to extract useful information. It requires advanced knowledge of probability theory, mathematical statistics, and digital signal processing techniques. The goal of statistical signal processing is to develop algorithms that can automatically detect patterns in noisy data and make accurate predictions. This specialized skill is used in a wide range of fields, including telecommunications, radar and sonar systems, biomedical engineering, and finance.