We present a filter bank approach to perform independent component analysis (ICA) for convolved mixtures. Input signals are split into subband signals and subsampled. A simplified network performs ICA on the subsampled signals, and finally independent components are synthesized. The proposed approach achieves superior performance than the frequency domain approach and faster convergence with le...

In this paper we propose oversampled three channels FIR filter banks [FB]. Channels are selected likewise which gives the result near perfect reconstruction filter bank. The inband aliasing is significantly reduced by selecting proper frequency spectrum and design of filters of filter banks. This design gives the result of oversampled FIR filter bank for two dimensional MRI image with peak sign...

In this paper, Gaussian and elliptic high pass filters are analyzed for image sharpening qualitatively and quantatively . The filters are implemented in frequency domain using matlab software. Experiments are performed to compare the performance of both the filters ,processed images are presented. The results demonstrate that elliptic yields better results.

The task of segmenting the lung fields, the heart, and the clavicles in standard posterior-anterior chest radiographs is considered. Three supervised segmentation methods are compared: active shape models, active appearance models, both first proposed by Cootes et al. [1] and a multi-resolution pixel classification method that employs a multi-scale filter bank of Gaussian derivatives and a k-ne...

Ground maneuvering target tracking is a class of nonlinear and/or no-Gaussian filtering problem. A new interacting multiple model unscented particle filter (IMMUPF) is presented to deal with the problem. A bank of unscented particle filters is used in the interacting multiple model (IMM) framework for updating the state of moving target. To validate the algorithm, two groups of multiple model f...

We consider detection of local image symmetry using linear filters. We prove a simple criterion for determining if a filter is sensitive to a group of symmetries. We show that derivative-of-Gaussian (DtG) filters are excellent at detecting local image symmetry. Building on this, we propose a very simple algorithm that, based on the responses of a bank of six DtG filters, classifies each locatio...

This paper proposes an efficient method for the design of Pseudo Quadrature mirror filter (QMF) bank. Parent filter of the filter bank is designed using new class of adjustable window functions. Filter coefficients are optimized by varying the cutoff frequency. A comparative analysis is included to confirm the validity of the proposed work.

Abstract – In parallel processing of digital signals, we require an algorithm which can be “parallelized” to take advantage of multiple processing units or a signal decomposition whereby each component in the signal decomposition can be processed in parallel. The filter bank is introduced as one way to provide a signal decomposition useful in parallel signal processing. In this paper, we review...