cosineweighted
Cosineweighted refers to a technique used in signal processing and data analysis where a cosine function is employed to weight different parts of a signal or dataset. The cosine function, with its characteristic smooth, bell-like shape, assigns higher weights to the central portions and gradually decreasing weights towards the edges. This weighting scheme is particularly useful in scenarios where data points closer to a reference or center are considered more important or relevant than those further away.
The mathematical form of a cosine weighting typically involves a function like cos(x) where x is scaled
The advantage of cosineweighted methods lies in their ability to provide a smooth transition in weighting,