An analogue adaptive filter for dynamic response compensation of a load cell sensor is presented. The filter employs only transistors and therefore it can be integrated using standard digital CMOS technology, which is suitable for System-on-Chip applications. To perform adaptive compensation over a wide range of measurand, a novel CMOS multiplier circuit was developed. The analogue adaptive fil...

This paper proposes a new adaptive filter for wind generators that combines instantaneous reactive power compensation technology and current prediction controller, and therefore this system is characterized by low harmonic distortion, high power factor, and small DC-link voltage variations during load disturbances. The performance of the system was first simulated using MATLAB/Simulink, and the...

This brief deals with the improvement of jammer suppression for adaptive broadband beamforming. The analysis is carried out with a two-microphone Griffiths–Jim Beamformer and a single jammer signal. By examining the derived optimal filter, a design strategy for the constant target-signal filter in the main channel of the adaptive beamformer is given. This leads to a substantial reduction in the...

Adaptive optics applies advanced sensing and control to improve the ability of optical systems to collect images through a turbulent atmosphere. The results of this research effort demonstrate that the combination of two recent approaches improves the performance of adaptive optics in directed energy and laser communication scenarios. The first approach is adaptive control, which offers improve...

Biomedical signals such as ECG, EMG, and EEG are extremely important in the diagnosis of patients. It is difficult to filter noise from these signals, and errors resulting from filtering can distort a biomedical signal. Existing systems have shown poor performance when complicated noise appears. Adaptive filtering is selected to contend with these defects. Existing adaptive filters can adjust t...

In silicon on chip technology demands high performance and low power Very Large Scale Integrated Circuit (VLSI) digital signal processing (DSP) systems. The aim of this paper explores the power consumption technique for the architecture of Finite Impulse Response (FIR) adaptive filter. An adaptive FIR filter with Block Least Mean Square (BLMS) algorithm was developed to reduce the power. Distri...

The design of optimum systems, in the classical sense, requires a priori some knowledge of the signals to be encountered. As a result, such systems perform poorly when the appropriate characteristics of the input signals are not known a priori sufficiently well or are timevarying. An adaptive processor has the ability to selfoptimize by continually monitoring its performance and updating its pa...

This paper describes the adaptive deblocking filter used in the H.264/MPEG-4 AVC video coding standard. The filter performs simple operations to detect and analyze artifacts on coded block boundaries and attenuates those by applying a selected filter.

The particle filter has emerged as a useful tool for problems requiring dynamic state estimation. The efficiency and accuracy of the filter depend mostly on the number of particles used in the estimation and on the propagation function used to re-allocate these particles at each iteration. Both features are specified beforehand and are kept fixed in the regular implementation of the filter. In ...

In most adaptive signal processing applications, system linearity is assumed and adaptive linear filters are thus used. The traditional class of supervised adaptive filters rely on error-correction learning for their adaptive capability. The kernel method is a powerful nonparametric modeling tool for pattern analysis and statistical signal processing. Through a nonlinear mapping, kernel methods...