实验中,信号被加入了自回归(AR)噪声,噪声的阶数为2。使用FXLMS、FXNLM、FXRLS、RLS和NLMS算法进行噪声抵消。 仿真结果表明,所有五种算法都能有效地抵消有色噪声。其中,FXRLS和RLS算法具有最佳的收敛性能,能够快速跟踪噪声的统计特性。NLMS算法具有较好的抗噪声能力,在噪声较大的情况下也能获得良好的去噪效果。 结论 ...
Eventually, each band signal is individually governed by the FxNLMS controller. Numerical results have demonstrated that the proposed adaptive vibration control method has high convergence accuracy and excellent vibration suppression performance. Furthermore, the effectiveness of the vibration control method ...
Hybrid Fx-NLMS Algorithm for Active Vibration Control of Flexible Beam with Piezoelectric Stack ActuatorFiltered-x Least Mean Square (FxLMS) algorithm is a meaningful adaptation algorithm used in the field of Active Vibration Control (AVC). Hybrid FxLMS algorithm, which is the combination of the ...
Real Noise Examples Trained models Bcolors.py Combine_SFANC_with_FxNLMS.py Control_filter_selection.py Disturbance_generation.py FxNLMS_algorithm.py Network.py README.md README.txt Reading_path_test.py SFANC-FxNLMS for ANC.ipynb loading_real_wave_noise.py ...
The paper proposes a hybrid SFANC-FxNLMS approach to overcome the adaptive algorithm's slow convergence and provide a better noise reduction level than the SFANC method. A lightweight one-dimensional convolutional neural network (1D CNN) is designed to automatically select the most suitable pre-tr...
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