👉 Amplification, in the context of mathematics and signal processing, refers to the process of increasing the magnitude or impact of a signal or data set. This is often achieved through scaling, where each value in the original data is multiplied by a constant factor, thereby amplifying or attenuating its amplitude. For example, multiplying all elements of a vector by 2 doubles the vector's magnitude, effectively amplifying it. Amplification can be linear or non-linear, depending on the specific method used, and is crucial in various applications such as enhancing signal clarity in communications, boosting image brightness in computer vision, or increasing the sensitivity of sensors. The goal is to make the signal more noticeable or significant while preserving its essential characteristics.
