Discrete wavelet transform (DWT) is computed by subband lters bank and often used to approximate wavelet series (WS) and continuous wavelet transform (CWT). The approximation is often inaccurate because of the improper initialized discretization of the continuous-time signal. In this paper, the problem is analyzed and two simple algorithms for the initialization are introduced. Finally, numeric...

This paper presents a watermarking procedure for digital image in the Complex Wavelet Domain. First, a watermark image as copyright sign is preprocessed with a random location matrix. In this scheme, we apply the DT-CWT transform only locally, we transform the subimage, which is extracted from the original image, in the complex wavelet domain by using DT-CWT, then, according to the characterist...

he continuous wavelet transform (CWT) displays the scale-dependent structure of a signal as it varies in time. This scale-dependent structure, in turn, is essentially the instantaneous frequency, so that the CWT provides a view of the frequency versus time behavior of the signal and therefore has great potential as a preliminary tool for investigating wideband, nonstationary, or other types of ...

Discrete wavelet transform (DWT) is computed by subband lters bank and often used to approximate wavelet series (WS) and continuous wavelet transform (CWT). The approximation is often inaccurate because of the improper initialized discretization of the continuous-time signal. In this paper, the problem is analyzed and two simple algorithms for the initialization are introduced. Finally, numeric...

Frequency domain analyses in electromyographic (EMG) signals are frequently applied to assess muscle fatigue and similar variables. Moreover, Fourier-based approaches are typically used for investigating these procedures. Nonetheless, Fourier analysis assumes the signal as stationary which is unlikely during dynamic contractions. As an alternative method, wavelet-based treatments do not assume ...

In this paper we propose an approach to detect microcalcifications in digital mammograms using the dual-tree complex wavelet transform (DT-CWT).The approach follows four basic strategies, namely, image denoising, band suppression, morphological transformation and inverse complex wavelet transform. Recently, the DT-CWT has shown a good performance in applications that involve image processing du...

This paper introduces a novel OFDM system base on dual – tree complex wavelet transform (DT-CWT). In the proposed scheme, DT-CWT is used in the place of FFT. The proposed scheme offers the best PAPR performance than the conventional OFDM and WPM systems at the expense of acceptable computational complexity without using any pruning techniques. The CCDF for the proposed scheme signal achieves ab...

This paper presents a wide range of algorithms and architectures for computing the 1-D and 2-D Discrete Wavelet Transform (DWT), and the 1-D and 2-D Continuous Wavelet Transform (CWT). The algorithms and architectures presented here are independent of the size and nature of the wavelet function. New on-line algorithms are proposed for the DWT and the CWT which require signiicantly small storage...

Non-stationary signal processing applications use standard non-redundant DWT (Discrete Wavelet Transform) which is very powerful tool. But it suffers from shift sensitivity, absence of phase information, and poor directionality. To remove out these limitations, many researchers developed extensions to the standard DWT such as WP (Wavelet Packet Transform), and SWT (Stationary Wavelet Transform)...

We present an optical flow technique in a differential projected framework adapted to local myocardial motion estimation from MR Tagged images. The algorithm is based on The Dual Tree design of Hilbert transform pairs of wavelet bases. Such a design allows one to construct several orientationsensitive wavelet filters for better analysis of the complex twisting motion combined with the longitudi...