Block Wavelet Transforms (BWTs) are orthogonal matrix transforms that can be obtained from orthogonal subband filter banks. They were initially generated to produce matrix transforms which may carry nice properties inheriting from wavelets, as alternatives to DCT and similar matrix transforms. Although the construction methodology of BWT is clear, the reverse operation was not researched. In ce...

As more and more digital images are distributed on-line via the Internet and World-Wide Web, many copyright owners are concerned about protecting the copyright of digital images. This paper describes WaveMark, a novel wavelet-based multiresolution digital watermarking system for color images. The algorithm in WaveMark uses discrete wavelet transforms and error-correcting coding schemes to provi...

1 INTRODUCTION The recently introduced compactly supported wavelets of Daubechies have proven to be very useful in various aspects of signal processing, notably in image compression (see, e.g., 23]). The fundamental idea in the application to image compression was to take a digitized image and to use wavelets to provide a multiscale representation of it, and to then discard some information at ...

Entropy as a measure of uncertainty was used to represent the results of the wavelet technique in electrochemical noise analysis. The experimental signals were obtained by recording the electrochemical potential and current noise of 7075 aluminum alloy in 3.5% NaCl solution. The electrochemical potential and current noise were decomposed into 16 levels using Daubechies wavelets. Wavelet output ...

A popular wavelet reference [W] states that “in theoretical and practical studies, the notion of (wavelet) regularity has been increasing in importance.” Not surprisingly, the study of wavelet regularity is currently a major topic of investigation. Smoother wavelets provide sharper frequency resolution of functions. Also, the iterative algorithms to construct wavelets converge faster for smooth...

The paper presents the possibilities of using wavelet transform to filter cutting force signal. Tests were carried out by dry turning on Ti6Al4V alloy with variable parameters. Four blades different nose geometry and coatings used. From recorded waveforms, mean values component Fc load stability coefficient calculated. measured waveforms filtered Daubechies 4 (db4) 6 (db6) wavelets. ratio stabi...

In this text, the author presents mathematical background and major wavelet applications, ranging from the digital telephone to galactic structure and creation of the universe. It In signal processing on zero, crossings and historical notes great book. The seasoned mathematician will find discussions, of meyer's wavelets. The book for wavelets algorithms and mathematical or unavailable edition ...

This paper extends to two dimensions the frame criterion developed by Daubechies for one-dimensional wavelets, and it computes the frame bounds for the particular case of 2D Gabor wavelets. Completeness criteria for 2D Gabor image representations are important because of their increasing role in many computer vision applications and also in modeling biological vision, since recent neurophysiolo...

Multiresolution Time Domain (MRTD) techniques based on wavelet expansions can be used for adaptive refinement of computations to economize the resources in regions of space and time where the fields or circuit parameters or their derivatives are large. Hitherto, standard wavelets filter coefficients have been used with the MRTD method but the design of such filter itself may enable to incorpora...

The classification of the electrocardiogram (ECG) into different pathophysiological disease categories is a complex pattern recognition task. This study compares the classification performance of feature sets formed from the discrete-wavelet-transform coefficients of different mother wavelets. Fifteen feature sets are calculated from three Daubechies wavelets, with the decomposition level varie...