  The objective of this research is to employ cutting-edge active noise control
methodologies in order to mitigate the noise emissions produced by electrical
appliances, such as a coffee machine. The algorithm utilized in this study is
the modified Filtered-X Least Mean Square (FXLMS) algorithm. This algorithm
aims to generate an anti-noise waveform by utilizing measurements from both the
reference microphone and the error microphone. The desired outcome of this
approach is to achieve a residual noise level of zero. The primary difficulty
lies in conducting the experiment in an open space setting, as conventional
active noise control systems are designed to function within enclosed
environments, such as closed rooms or relatively confined spaces like the
volume inside headphones. A validation test bench is established, employing the
Sigma Studio software to oversee the entire system, with the ADAU1452 digital
signal processor being chosen. This study presents an introduction to different
Active Noise Control systems and algorithms, followed by the execution of
simulations for representative techniques. Subsequently, this section provides
a comprehensive account of the procedures involved in executing the
experiments, followed by an exploration of potential avenues for further
research.
