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...

The efficient implementation of connected filters is an important issue in signal processing. A typical example is the cascade of two filters, e.g., an adaptive filter with a time-invariant prefilter. The filtering and adaptation is carried out very efficiently in the frequency domain whenever filters with many coefficients are required. This is implemented as a block algorithm by using overlap...

This paper presents an application of variable infinite impulse response (IIR) digital filters based on the Constantinides frequency transformation to adaptive filtering. We propose a new unified framework for adaptive detection of narrowband signals using variable band-stop IIR digital filters with arbitrary transfer functions. It is also shown that our proposed method includes the all-pass-ba...

Subband adaptive filters have been proposed to circumvent the drawbacks of slow convergence and high computational complexity associated with time domain adaptive filters. Subband processing introduces transmission delays and signal degradations due to aliasing effects. In order to overcome the transmission delays, delayless adaptive filtering has been introduced where the coefficient adaptatio...