The Discrete Wavelet Transform (DWT) is a transformation that can be used to analyze the temporal and spectral properties of non-stationary signals like audio. In this paper we describe some applications of the DWT to the problem of extracting information from non-speech audio. More specifically automatic classification of various types of audio using the DWT is described and compared with othe...

Long-term Yellow River irrigation and the unique natural conditions in the Heitao Irrigation District (HID) Inner Mongolia, China, has led to serious environmental problems such as the shallower groundwater table and soil secondary salinization, etc. The conflicts among socio-economic development, water shortage and environmental degradation have become increasingly critical. By using the stati...

geophysical data are always affected by different sources of anomaly. these sources are classified in to three groups: first group is relatively deep sources commonly called as regional effects, second group is near surface sources or local effects and third group is high frequency noises. the only common way to separate the anomaly is separation with respect to the signal frequency. there are ...

* Warsaw University of Technology, Pl. Politechniki 1, 00-660 Warsaw, Poland, mail: [sto,ksiwek]@iem.pw.edu.pl † Military University of Technology, Warsaw, Poland ‡ Warsaw University of Agriculture, Warsaw, Poland Abstract − The paper presents the application of discrete wavelet transform to the detection of switching events in electrical circuits. The wavelet decomposition is applied to the re...

In recent days, images play a vital role in a wide range of applications. Some of the significant application fields such as medical, education, surveillance also utilize images. Images are of large size and hence they are difficult to transmit and store. Images need compression for effective transmission and storage. A wide of range of compression techniques are available in the literature. So...

We present an analysis of the non-Gaussianity in the distribution of Lyα forest lines in the QSO absorption spectra. Statistical tests performed on this data indicate that there may be large scale structure even though the power spectrum of the Lyα line distribution on large scales is found to be flat. It is apparent that higher (than two) order statistics are crucial in quantifying the cluster...

In data processing, the fundamental idea behind wavelets is to analyze according to scale, with the advantage over Fourier methods in that of optimally processing signals that contain discontinuities and sharp spikes. Apart from the two major characteristics of the wavelet analysis multiresolution and adaptivity to nonstationarity or local features in data there is a related application in func...

This paper compares the performance of face image retrieval system based on discrete wavelet transforms and Lifting wavelet transforms with principal component analysis (PCA). These techniques are implemented and their performances are investigated using frontal facial images from the ORL database. The Discrete Wavelet Transform is effective in representing image features and is suitable in Fac...

The ability of gerarchically manage data available in a Geographical Information System is becoming increasingly important, given the huge data quantity provided by the modern surveying techniques. In particular, the spatial features of an element must be framed in an intrensically multiresolution structure with an efficient management of the information at different resolutions. Four new modul...