This paper presents the development and DSP implementation of a stable ANC feedback system with online secondary path modelling, using the Normalized Filtered-X Least Mean Square with Noise Addition algorithm (NFXLMS-NA), for acoustic noise cancellation. In this paper, the feedforward and the feedback ANC systems are described briefly; the basic of the FXLMS algorithm and its structure is discu...

We study a general setting of active noise cancellation problems from the H1 point of view and present a solution that optimally limits the worst case energy gain from the interfering measurement errors, external disturbances, and initial condition uncertainty to the residual noise. The optimal bounding of this energy gain is the main characteristic of the proposed solution. To impose a nite im...

The aim of this work is to adapt the Hierarchical LMS algorithm to an Active Noise Control System and to compare its performance with the FxLMS algorithm. Taking into account that the slightest change in the DSP code or in the electro-acoustical arrangement implies lots of experiments in the laboratory that can finish unsuccessfully, we have developed in MATLAB a simulated model of the system i...

This work is concerned with the performance of adaptive filters with both poles and zeros in active noise control (ANC) applications. This filtered-error type of applications makes it necessary to modify classical adaptive algorithms to cancel the noise. Thus, a well established theory exists for filtered-error adaptive FIR filters, with a special mention for the FxLMS algorithm. However, when ...