The Use of Quadrature Formulas in Signal Processing

Abstract

Quadrature formulas play a crucial role in signal processing by enabling efficient computation of integrals, which are fundamental in analyzing signals. By approximating the integral of a function using weighted sums of its values at specific points, quadrature formulas facilitate tasks such as filtering, spectral analysis, and signal reconstruction. These methods, including Gaussian quadrature and Newton-Cotes formulas, enhance the accuracy of numerical integration, particularly when dealing with discrete signals sampled in the time or frequency domain. As a result, they improve the performance of algorithms used in applications ranging from audio processing to telecommunications, ensuring that signals are accurately represented and analyzed without significant loss of information.