In this paper, a novel method to suppress the power line interference induced into telephone lines that are in proximity to power conductors is proposed. A phaselocked loop is used to synchronize the interference signal with an anti-phase waveform, which is stored in a buffer. The anti-phase signal is injected on the line and the samples of the residual signal are used to update the antiphase w...

The aim is to develop vibration control of flexible spacecraft by adaptive controller. A case study will be carried out which simulates planar motion of flexible spacecraft as a coupled hybrid dynamics of rigid body motion and the flexible arm vibration. The notch filter and adaptive vibration controller, which updates filter and controller parameters continuously from the sensor measurement, a...

H 1 optimal estimators guarantee the smallest possible estimation error energy over all possible disturbances of xed energy, and are therefore robust with respect to model uncertainties and lack of statistical information on the exoge-nous signals. We have recently shown that if prediction error is considered, then the celebrated LMS adaptive l-tering algorithm is H 1 optimal. In this paper we ...

This paper studies the effect of array manifold errors on ihe performance of various signal copy algorithms. under t h e assumption that the observation time is suficiently long, the following algorithms are atudied: classical beamforming, least squares, total least squares, linearly constrained minimum variance beamforming, and structured stochastic estimation. Expressions JOT the mean-square ...

A scaling-friendly approach for the low-power calibration of oversampled analog-to-digital (A/D) systems is presented. A 22-dB amplifier relaxes the design constraints of the analog front-end (AFE). The integrator nonidealities in the AFE of the sigma-delta (ΣΔ) ADC are calibrated using a multi-rate polyphase least-mean squares (LMS) algorithm. The proposed half(fs/2) and quarter-rate (fs/4) LM...

This work proposes a low complexity nonlinearity model and develops adaptive algorithms over it. The model is based on the decomposable—or rank-one, in tensor language— Volterra kernels. It may also be described as a product of FIR filters, which explains its low-complexity. The rank-one model is also interesting because it comes from a well-posed problem in approximation theory. The paper uses...

Invariable step size based least-mean-square error (ISS-LMS) was considered as a very simple adaptive filtering algorithm and hence it has been widely utilized in many applications, such as adaptive channel estimation. It is well known that the convergence speed of ISS-LMS is fixed by the initial step-size. In the channel estimation scenarios, it is very hard to make tradeoff between convergenc...

In this paper, we present the convergence analysis of proportionate-type least mean square (Pt-LMS) algorithm that identifies the sparse system effectively and more suitable for real time VLSI applications. Both first and second order convergence analysis of Pt-LMS algorithm is studied. Optimum convergence behavior of Pt-LMS algorithm is studied from the second order convergence analysis provid...