The Continuous Wavelet Transform (CWT) has been recently proposed to model f0 in the context of speech synthesis. It was shown that systems using signal decomposition with the CWT tend to outperform systems that model the signal directly. The f0 signal is typically decomposed into various scales of differing frequency. In these experiments, we reconstruct f0 with selected frequencies and ask na...

This paper presents a computational algorithm for identifying power frequency variations and integer harmonics by using waveletbased transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the harmonics presented in a power signal. A frequency detection algorithm is developed from the wavelet scalogram and ridges. A necessary condition is es...

This paper introduces our recently designed 9/7– 10/8 dual-tree complex filter bank and studies its application in moving object detection and segmentation. The dual-tree complex wavelet transform (DT-CWT) is used in edge detection required for segmentation in video frames. The DT-CWT approach is compared with the previous methods based on scalar wavelets and multi-wavelets (MW), using double c...

We propose a novel face recognition using Dual Tree Complex Wavelet Transform (DTCWT), which is used to extract features from face images. The Complex Wavelet Transform is a tool that uses a dual tree of wavelet filters to find the real and imaginary parts of complex wavelet coefficients. The DT-CWT is, however, less redundant and computationally efficient. CWT is a relatively recent enhancemen...

Abstract –– The dual-tree complex wavelet transform (DT-CWT) which utilizes two 2band discrete wavelet transform (DWT) was recently extended to Mband. In this paper we provide a simple construction method for an M-band DTCWT, with M = r where r, d Z. In particular, we show how to extend a given rband DT-CWT to an r – band one. For convenience, the case where r = 2, d = 2 is considered. However,...

The subject matter of this paper refers to the improvement of the acoustic emission (AE) method when used for detection, measurement and location of electrical discharges in air insulation systems of power appliances. The detailed subject matter refers to the issues connected with the application of modern methods of digital processing of signals obtained during technical high-power measurement...

This paper describes a uniform transform domain Video Codec where the motion estimation/compensation (ME) is performed in the transform domain. The estimation technique discussed here is a subpixel transform domain ME based on the Dual Tree Complex Wavelet Transform (DT CWT) and a maximum phase correlation technique. The DT CWT is a multiresolution fine-to-coarse bandpass filtered decomposition...

We propose an amplitude-phase representation of the dual-tree complex wavelet transform (DT-CWT) which provides an intuitive interpretation of the associated complex wavelet coefficients. The representation, in particular, is based on the shifting action of the group of fractional Hilbert transforms (fHT) which allow us to extend the notion of arbitrary phase-shifts beyond pure sinusoids. We ex...

The main objective of this paper is to present a wavelet-based procedure to characterize principle features of a special class of motions called pulse-like ground motions. Initially, continues wavelet transform (CWT) which has been known as a powerful technique both in earthquake engineering and seismology field is applied easily in automated detecting of strong pulse of earthquakes. In this pr...

Diagnostics of rolling elements under varying operational conditions, where disturbances and other rotating elements have strong influence on correctness of analysis, requires engagement of advanced signal processing techniques. Extraction of signal components generated by bearing faults has been proven to be an exceptionally promising method for rolling element bearing fault detection. In this...