Abstract –Wavelet packets have been found to be effective in denoising of biological signals. Wavelet based denoising methods widely employ hard and soft thresholding filters for denoising the signals. This paper introduces a New thresholding filter for the purpose of thresholding in denoisng of EEG signals using wavelet packets. The functioning of the filter is examined and compared with that ...

We propose a new subspace decomposition scheme called anisotropic wavelet packets which broadens the existing definition of 2-D wavelet packets. By allowing arbitrary order of row and column decompositions, this scheme fully considers the adaptivity, which helps find the best bases to represent an image. We also show that the number of candidate tree structures in the anisotropic case is much l...

Auditory Brainstem Response (ABR) is an auditory evoked potential extracted from ongoing electrical activity in the brain. ABR is especially used for newbornand children hearing screening, auditory threshold estimation, and brainstem lesion detection in response to stimuli such as click sound, tone burst or chirp. In order to support clinical decision making the analysis of ABR signals must exh...

Former fault diagnosis algorithms for the transmission systems usually employ FFT and deterministic thresholds. These bring simplicity along with lots of manual works and inaccuracy to the applications. This paper proposes a new adaptive fault diagnosis scheme, which hardly need any interference from users. It utilizes the Wavelet Packets Transformation Analysis (WPTA) as a preliminary feature ...

In this paper, we propose a modified speech enhancement system using wavelet packets thresholding algorithm. First, we describe the basic algorithms of wavelet-based speech enhancement systems and we explain a previous introduced algorithm for improvement of the basic algorithm. Then we discuss on some factors affecting the performance of this system, including the thresholding function and the...

In this article we extend the definition of wavelet variance to wavelet packets. We also adapt to wavelet packets an iterated cumulative sum of squares algorithm for the location of variance change points. Wavelet packets have greater decorrelation properties than standard wavelets in that they induce a finer partitioning of the frequency domain of the process generating the data. This allows o...

We report on the development of an adaptive wavelet image coder based on stack-run representation of the quantized coefficients. The coder works by selecting an optimal wavelet packet basis for the given image and encoding the quantization indices for significant coefficients and zero runs between coefficients using a 4-ary arithmetic coder. Due to the fact that our coder exploits the redundanc...

In this paper, computer-aided detection of microcalcifications by multiresolution is performed. We firstly present methods of enhancement of mammograms. A combination of these methods is proposed and makes more obvious the features of the image. The second part of this paper deals with the multiscale image processing for detection of microcalcifications by wavelet and wavelet packets. For the w...

Interferometric synthetic aperture radar (InSAR) has been used widely in investigation of surface deformation, such as earthquake, volcano, ground subsistence and landslides. But there are still some obstacles standing in the stage of the application. One of those is the phase noise in the interferogra. In particular, there are much noise in the inteferograms derived in steep topographic area w...

We present some applications of general harmonic/wavelet analysis approach (generalized coherent states, wavelet packets) to numerical/analytical calculations in (nonlinear) quasiclassical/quantum beam dynamics problems. (Naive) deformation quantization, multiresolution representations and Wigner transform are the key points.