This paper presents a noise-robust, fast-convergence echo canceller and its implementation on a multimedia RISC (Reduced Instruction Set Computer). Faster convergence is achieved by introducing an improved noise power estimator for step-size control. This echo canceller has been implemented on V830 multimedia embedded RISC and has been integrated into a car navigation system. V830 provides perf...

The present research project is investigating associations between noise exposure, noise sensitivity, noise disturbed sleep and health. This is being done in two ways, the first examining subjective reports and the second looking at objective measurements. Results from the first questionnaire study showed that perceived noise exposure was related to impaired subjective health. This was also fou...

Information-theoretic uncertainty relations formulate the joint immeasurability of two non-commuting observables in terms information entropies. The trade-off accuracy outcome successive measurements manifests entropic noise-disturbance relations. Recent theoretical analysis predicts that projective are not optimal, with respect to trade-offs. Therefore results our previous letter [PRL 115, 030...

The extended state observer (ESO) plays an important role in the design of feedback control for nonlinear systems. However, its high-gain nature creates a challenge engineering practice cases where output measurement is corrupted by non-negligible, high-frequency noise. presence such noise puts constraint on how high gains can be, which forces trade-off between fast convergence estimates and qu...

The design of controllers that can automatically compensate the effects of uncertain disturbances in a system has become an important topic in modern control engineering. The general theory of disturbance accommodating control provides a method for designing feedback controllers which automatically detect and minimizes the effect of waveformstructured disturbances. This approach has been applie...

This paper investigates the problem of robust filter design for a class of nonlinear stochastic systems with state-dependent noise. The state and measurement are corrupted by stochastic uncertain exogenous disturbance and the dynamic system is modeled by Itô-type stochastic differential equations. For this class of nonlinear stochastic systems, the robust H∞ filter can be designed by solving li...