ABSTRACT
A signal is a function of time, depending on either a continuous, real time variable or a discrete integer time variable. Signal processing is a collection of diverse mathematical, statistical, and computational techniques for transforming, extracting information from, and modeling of signals. Common signal processing techniques include filtering a signal to remove undesired frequency components, extracting a model that describes key features of a signal, estimation of the frequency components of a signal, prediction of the future behavior of a signal from past data, and finding the direction from which a signal arrives at an array of sensors.
