The 2-D Discrete Wavelet Transform (DWT) suits image processing applications well, allowing for excellent compression. Many architectures have been proposed to perform the 1, 2 and 3-D DWT, but few address the precision necessary to ensure perfect reconstruction. The goal of this work is to experimentally determine the precision needed to store the results of a 2-D DWT without introducing round...

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...

This paper is dedicated to entropy coding for scalable video compression based on three-dimensional discrete wavelet transform (3-D DWT). A new simple bit-plane entropy coding of wavelet subband matrices is proposed. Practical results show that 3-D DWT video codec with proposed entropy coding allows to increase the encoding speed 2-3 times for the same quality level in comparison with x.264 cod...

This paper presents a novel zero-watermarking scheme, which is robust to geometric distortions and common signal processes. Zero-watemarking technique is different from traditional digital image watermarking, which constructs watermark from its host image, instead of watermark inserting. We construct watermark from low-frequency coefficients in discrete wavelet transform (DWT) domain, which is ...

We give a brief review of some of the wavelet-based techniques currently available for the analysis of arbitrary-length discrete time series. We discuss the maximal overlap discrete wavelet packet transform (MODWPT), a non-decimated version of the usual discrete wavelet packet transform, and a special case, the maximal overlap discrete wavelet transform (MODWT). Using least-asymmetric or coifle...

Electrocardiogram is used to measure the rate and regularity of heartbeats to detect any irregularity to the heart. An ECG translates the heart electrical activity into wave-line on paper or screen. For the feature extraction and classification task we will be using discrete wavelet transform (DWT) as wavelet transform is a two-dimensional timescale processing method, so it is suitable for the ...

In this paper, a new face recognition system based on Haar wavelet transform (HWT) and Principal Component Analysis (PCA) using Levenberg-Marquardt backpropagation (LMBP) neural network is presented. The image face is preprocessed and detected. The Haar wavelet is used to form the coefficient matrix for the detected face. The image feature vector is obtained by computing PCA for the coefficient...

Estimating the gravity anomaly causative bodies boundary can facilitate the gravity field interpretation. In this paper, 2D discrete wavelet transform (DWT) is employed as a method to delineate the boundary of the gravity anomaly sources. Hence, the GRACE’ satellite gravity data is decomposed using DWT. DWT decomposites a single approximation coefficients into four distinct components: the appr...

Peak Signal-to-Noise Ratio (PSNR) is a serious issue in OFDM systems. Several techniques have been proposed by researchers to maintain PSNR. In this paper, the Peak Signal-to-Noise Ratio (PSNR) performance of conventional Fast Fourier Transform (FFT)-OFDM system and discrete cosine transform (DCT)-OFDM system is compared with discrete wavelet transform (DWT)-OFDM system in a Gaussian Noise envi...

In this paper, a high-efficient lined-based architecture for the 9/7 discrete wavelet transform (DWT) based on lifting scheme is proposed. The proposed parallel and pipelined architecture consists of a horizontal filter (HF) and a vertical filter (VF). The critical path of the proposed architecture is reduced. Filter coefficients of the biorthogonal 9/7 wavelet low-pass filter are quantized bef...