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...

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. ...

Interference or Noise is the major issue in any communication system. It has been used LMS and NLMS adaptive filters to de-noise the noisy signal and compare with the performance of these filters. Adaptive algorithms are the most effective and elementary. This paper investigates the noise cancellation capabilities of the adaptive filters.

In this paper we present the approach of Genetic Algorithm in designing of Infinite Impulse Response Adaptive Filters. There are different applications of Adaptive Filters. In this paper we represent the involvement of Genetic Algorithm in the application of Adaptive Filters.

Bloom filters are widely used to perform fast approximate membership checking in networking applications. The main limitation of is that they suffer from false positives can only be reduced by using more memory. We suggest take advantage a common repetition the identity queried elements adapt for avoiding repeat upon queries. In this paper, one memory access design an adaptation scheme effectiv...