In bio-medical signals, removal of noises is one of the major issues. In recent years, adaptive filtering plays an efficient role in processing and analysis of biomedical signals. An adaptive filter allows to detect time varying potentials and to track out the dynamic variations of the signals and it modify their behavior according to the input. This paper focuses on the enhancement of adaptive...

This paper proposes a new method for rejecting the Continuous Wave Interferences (CWI) in the Global Positioning System (GPS) receivers. The proposed filter is made by cascading an adaptive Finite Impulse Response (FIR) filter and a Wavelet Packet Transform (WPT) based filter. Although adaptive FIR filters are easy to implement and have a linear phase, they create self-noise in the rejection of...

Adaptive filters are novel kind of filters used in Digital Signal Processing with adjustable weights. The weight adjustment in adaptive filters is done using some special kind of algorithms called as adaptive algorithms. Adaptive filters have a number of applications in various fields like signal processing, communication systems biomedical etc. One of the novel applications of Adaptive filters...

A novel class of nonlinear adaptive L-filters based on cellular neural networks topology is presented. Like cellular neural systems and cellular automata as well, processing nodes, called cells, communicate with each other directly only through its nearest neighbors exchanging information. Each cell is an adaptive LMS L-filter. The proposed filters share the best features of both adaptive filte...

Due to widespread use of Global Positioning System (GPS) in different applications, the issue of GPS signal interference cancelation is becoming an increasing concern. One of the most important intentional interferences is spoofing signals. An effective interference (delay spoof) reduction method based on adaptive filtering is developed in this paper. The principle of method is using adaptive f...

The author has introduced a new efficient algorithm called “weighted mediated morphological filters” for signal/image denoising [1]. Adaptive version of such operators has been applied in 1-D for adaptive ECG processing [2]. The main objective of this paper is to extend the proposed method in 2-D for adaptive image processing and compare the efficiency of the adaptive filters with that of non-a...

This file contains additional problems that instructors may find useful. The problems originate from various examination questions on adaptation and learning in the graduate level course EE210A: Adaptation and Learning taught by the author at UCLA Electrical Engineering. The problems are generally designed to test deeper understanding of core concepts in adaptation and estimation theories. This...

Updating Optimal Coefficients and Selected Observations Affine Projection is an effective way to reduce the computational and power consumption of this algorithm in the application of adaptive filters. On the other hand, the calculation of this algorithm can be reduced by using subbands and applying the concept of filtering the Set-Membership in each subband. Considering these concepts, the fir...

(i) Supervised adaptive filters, which require the availability of a training sequence that provides different realizations of a desired response for a specified input signal vector. The desired response is compared against the actual response of the filter due to the input signal vector, and the resulting error signal is used to adjust the free parameters of the filter. The process of paramete...