A weight-constrained FxLMS algorithm for feedforward active noise control systems

TL;DR: The focus of this study is on the use of signal processing and some recent soft computing tools on the development of active noise control systems.

TL;DR: In this article, a new online secondary path modeling method with auxiliary noise power scheduling and adaptive filter norm manipulation is proposed to alleviate the increment of the residual noise due to the auxiliary noise.

TL;DR: In this article, a hybrid analog/digital feedback active noise cancellation (ANC) headset system with analog feedback was designed and used in experiments, and the experimental results show that the hybrid headset system is more robust under large plant fluctuation, and achieved satisfactory noise cancellation for both narrowband and broadband noises.

TL;DR: The development of the linear active noise control (ANC) technique in the past decade was reviewed, with recent advances of NLANC algorithms, such as spline ANC algorithms, kernel adaptive filters, and nonlinear distributed ANC algorithms.

TL;DR: For practicing engineers, researchers, and advanced students in signal processing, Active Noise Control Systems: Algorithms and DSP Implementations will serve as a comprehensive, state-of-the-art text/reference on this important and rapidly changing area of signal processing.

TL;DR: This paper presents an analysis of the filtered-X LMS algorithm using stochastic methods and some derived bounds and predicted dynamic behavior are found to correspond very well to simulation results.

TL;DR: The author presents an analysis of the filtered-X LMS algorithm in the presence of spherically invariant input process, and some theoretical results and simulated behavior are shown to agree very well.

TL;DR: A new stochastic analysis is presented for the filtered-X LMS (FXLMS) algorithm and an analytical model is derived for the mean behavior of the adaptive weights.