“…Under the slow adaptation, i.e., under the assumption μ a k , μ φ k be small enough, the local stability analysis around the equilibrium points in the new DXHS algorithm (8) and (9) was carried in [11] by using the averaging method [12].…”
Section: Stability Property Of the New Dxhs Algorithmmentioning
confidence: 99%
“…Then some new techniques have been proposed to improve FxLMS algorithms (e.g., [6], [7], [8] ). On the other hand, in order to overcome the issue of FxLMS, the delayed-x harmonics synthesiser (DXHS) algorithm has been proposed [9], [10], and DXHS algorithm also has been used widely. However, stability consideration in DXHS algorithm is still not enough because it sometimes becomes unstable due to estimation errors of the secondary path's transfer function.…”
The new type of active noise feedforward control (new DXHS algorithm) was proposed and its local stability was analysed to show that the new algorithm can overcome drawbacks of ltered-x least mean square (FxLMS) algorithm as well as delayed-x harmonics synthesiser (DXHS) algorithm. This paper veri es with simulations and experiments how well the new DXHS algorithm works. For the simulations and the experiments, the new DXHS algorithm is transfered from the continuous-time version to the discrete-time version. By observing global behaviors, it is made clear some issues on transient responses until the adjustable parameters converge to the stable equilibrium points.
“…Under the slow adaptation, i.e., under the assumption μ a k , μ φ k be small enough, the local stability analysis around the equilibrium points in the new DXHS algorithm (8) and (9) was carried in [11] by using the averaging method [12].…”
Section: Stability Property Of the New Dxhs Algorithmmentioning
confidence: 99%
“…Then some new techniques have been proposed to improve FxLMS algorithms (e.g., [6], [7], [8] ). On the other hand, in order to overcome the issue of FxLMS, the delayed-x harmonics synthesiser (DXHS) algorithm has been proposed [9], [10], and DXHS algorithm also has been used widely. However, stability consideration in DXHS algorithm is still not enough because it sometimes becomes unstable due to estimation errors of the secondary path's transfer function.…”
The new type of active noise feedforward control (new DXHS algorithm) was proposed and its local stability was analysed to show that the new algorithm can overcome drawbacks of ltered-x least mean square (FxLMS) algorithm as well as delayed-x harmonics synthesiser (DXHS) algorithm. This paper veri es with simulations and experiments how well the new DXHS algorithm works. For the simulations and the experiments, the new DXHS algorithm is transfered from the continuous-time version to the discrete-time version. By observing global behaviors, it is made clear some issues on transient responses until the adjustable parameters converge to the stable equilibrium points.
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