Adaptive filters are the filters that self adjust their transfer functions according to the error signal requirement.There are two categories of adaptive filters : Linear and non linear.Linear adaptive filters are those adaptive filters that obey the principle of superposition when the parameters are kept fixed. Non linear adaptive filters are those that do not follow the principle of superposi...

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One of the main problems in visual image processing is incomplete information owing an occlusion of objects by other objects. Since correlation filters mainly use contour information of objects to carry out pattern recognition then conventional correlation filters without training often yield a poor performance to recognize partially occluded objects. Adaptive correlation filters based on synth...

The uni-modal error surfaces and intrinsic stable behaviors of adaptive finite impulse response (FIR) filters make gradient based algorithms very effective in the design of these filters. Gradient based design methods are well developed for the design of adaptive FIR filters and widely applied to the distinct areas such as noise cancellation, system identification and channel equalization. Howe...

In this work we propose schemes for joint modelorder and step-size adaptation of reduced-rank adaptive filters. The proposed schemes employ reduced-rank adaptive filters in parallel operating with different orders and step sizes, which are exploited by convex combination strategies. The reduced-rank adaptive filters used in the proposed schemes are based on a joint and iterative decimation and ...

due to damaging effects of speckle noise to information of radar images, reduction of these effects has been considered by many researchers. we discussed speckle reduction of radar images based on curvelet transformation. more specifically we discussed the speckle reduction with emphasizing on preservation of the edges by hard thresholding of curvelet transformation. in this algorithm, first mu...

This paper proposes a robust reduced-rank scheme for adaptive beamforming based on joint iterative optimization (JIO) of adaptive filters. The scheme provides an efficient way to deal with filters with large number of elements. It consists of a bank of full-rank adaptive filters that forms a transformation matrix and an adaptive reduced-rank filter that operates at the output of the bank of fil...

Image compression via adaptive perfect reconstruction filter banks is studied. AnM -channel filter bank is employed in a lifting scheme using MSE-adaptive predictors. FFT-ordered L-filters are used for prediction. L-filters include a class of linear and nonlinear filters. A switching between three different filters is made for applyingdifferent filters over smooth regions, around edges and over...