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...

Retinex theory deals with the removal of unfavorable illumination effects from images. This ill-posed inverse problem is typically regularized by forcing spatial smoothness on the recoverable illumination. Recent work in this field suggested exploiting the knowledge that the illumination image bounds the image from above, and the fact that the reflectance is also expected to be smooth. In this ...

Adaptive filtering in subbands have originally been proposed to overcome limitations of classic adaptive algorithms in some areas. In general, subband adaptive filters offer computational savings, as well as faster convergence over the classical Least Mean Squared (LMS) algorithm. However, improvements to current subband adaptive filters could be further enhanced by a more elegant choice of the...

Mammography has been one of the most reliable methods for early detection of breast cancer. There are different lesions which are breast cancer characteristic such as microcalcifications, masses, architectural distortions and bilateral asymmetry. One of the major challenges of analysing digital mammogram is how to extract efficient features from it for accurate cancer classification. In this pa...

The project is aimed at comparing performance of filters for pulse noise removal in images. 22 filters ([1-18]) were implemented on a Matlab platform and tested in terms of: False alarms errors Missing errors Estimation errors due to false alarms and missing Visual quality The comparison results are presented in form of tables in which the filters are sorted in descending order of the quality. ...