 Similarities between Wiener and LMS

The Wiener filter and the Least Mean Squares (LMS) algorithm are both approaches used in signal processing and adaptive filtering for estimating or recovering signals. While they have different theoretical foundations and operational mechanisms, there are several similarities between the two: 1. **Purpose**: Both Wiener and LMS are used for filtering and estimation of signals, aiming to minimize some form of error between the desired output and the actual output. They are commonly employed in applications like noise reduction, echo cancellation, and system identification.