This paper presents a novel robust image watermarking scheme for resisting geometric attacks and traditional signal processing attacks simultaneously. The proposed scheme consists of two main phases, the feature point based watermark synchronization and the Discrete Wavelet Transform (DWT) based watermark embedding/extraction. In watermark synchronization, the locally most stable feature points...

The electroencephalograph (EEG) signal is one of the most widely signal used in the bioinformatics field due to its rich information about human tasks. In this work EEG waves classification is achieved using the Discrete Wavelet Transform DWT with Fast Fourier Transform (FFT) by adopting the normalized EEG data. The DWT is used as a classifier of the EEG wave’s frequencies, while FFT is impleme...

Wavelet is a powerful tool for signal coding especially bio-signal processing. Wavelet transform is used to represent the signal in time–frequency representation which is better suited for detecting and removing redundancies. A algorithm for wavelet based ECG signal compression is presented in this paper. Discrete Wavelet Transform (DWT) where db7 is selected as the mother wavelet for analysis ...

This paper describes architecture of DCT and DWT standard of an image compression. It is used specially for the compression of images where tolerable degradation is required. The discrete cosine transform is a fast transform and has fixed basis images which gives good compromise between information packing ability and computational complexity. DWT can be used to reduce the image size without lo...

In this paper, we present the advantages of Maximum overlapping Discrete Wavelet Transform (MODWT) in improving the forecasting accuracy financial time series data. Amman stock market (ASE) in Jordan was selected as a tool to show the ability of MODWT in forecasting financial time series, using Banking sector. Experimentally, this article suggests a novel technique for forecasting the banking d...

In this work, we present an efficient way to extract the illumination from the images by exploring only the low frequencies into them jointly with the use of the illumination model from the homomorphic filter. This illumination information may be used to code images in a sequence with only illumination changes. We take an image from the sequence as a reference. Any other image to be coded is ap...

In this paper, a new idea in machinery fault diagnostic by combining minimum-distance pattern-recognition and discrete wavelet transform (DWT) is presented. The method starts by forming the feature vector, which is basically the position vector of a point in the hyperspace spanned by the set of wavelet coefficients. These coefficients are obtained by expanding the measured signal from faulty ma...

This paper presents an efficient method of electrocardiogram signal denoising based on a hybrid approach. Two techniques are brought together to create an efficient denoising process. The first is an Adaptive Dual Threshold Filter (ADTF) and the second is the Discrete Wavelet Transform (DWT). The presented approach is based on three steps of denoising, the DWT decomposition, the ADTF step and t...