Adaptive noise canceller using LMS algorithm with codified error in a DSP

Abstract

In this paper we present an implementation of a digital adaptive filter on the digital signal processor TMS320C6713, using a variant of the LMS algorithm, which consists in error codification, thus the speed of convergence is increased and the complexity of design for its implementation in digital adaptive filters is reduced, because the resulting codified error is composed of integer values. The LMS Algorithm with codified error (ECLMS), was tested in an environmental noise canceller and the results demonstrate an increase in the convergence speed, and a reduction of processing time.