Standard DWT (Discrete Wavelet Transform), being non-redundant, is a very powerful tool for many non-stationary Signal Processing applications, but it suffers from three major limitations; 1) shift sensitivity, 2) poor directionality, and 3) absence of phase information. To reduce these limitations, many researchers developed real-valued extensions to the standard DWT such as WP (Wavelet Packet...

in this paper a wavelet-based logo watermarking scheme is presented. the logo watermark is embedded into all sub-blocks of the lln sub-band of the transformed host image, using quantization technique. extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. knowing the quantization step-size, dimensions of logo and the level of wavelet tra...

Polymer Bonded Explosives (PBX) are well-known explosives for the weapons, especially for the parts of some important weapon. Generally, they first are modelled in cylinder. One of the most important issues in PBX cylinder properties is the detection of its flaw. Each PBX cylinder may have flaws that influence the security, machine-performance and other important physical or chemical performanc...

electrocardiogram (ecg) is one of the most common biological signals which plays a significant role in diagnosis of heart diseases. one of the most important parts of ecg signal processing is interpretation of qrs complex and obtaining its characteristics. r wave is one of the most important sections of this complex which has an essential role in diagnosis of heart rhythm irregularities and als...

Wavelet transform (WT) has been proven to be a powerful chemometric method for processing analytical data. In this review, works on the application of WT in near-infrared (NIR) spectrum were summarized, emphasizing structural analysis water aqueous systems. The spectral features can obtained from resolution-enhanced NIR with help WT. Taking advantage resolution enhancement and sensitivity spect...

The multifractal nature of solar photospheric magnetic structures are studied using the 2D wavelet transform modulus maxima (WTMM) method. This relies on computing partition functions from the wavelet transform skeleton defined by the WTMM method. This skeleton provides an adaptive spacescale partition of the fractal distribution under study, from which one can extract the multifractal singular...

In this study, four channels' heart sounds of normal persons and patients with coronary artery disease (CAD) were detected by a highly sensitive sound sensors array placed on special positions of body's thorax, the acquired signals were analyzed using wavelet transform and neural networks. Wavelet transform is a highly applicable method to separate the complicated heart sounds into various freq...

this paper presents a rational haar wavelet operational method for solving the inverse laplace transform problemand improves inherent errors from irrational haar wavelet. the approach is thus straightforward, rather simple andsuitable for computer programming. we define that $p$ is the operational matrix for integration of the orthogonalhaar wavelet. simultaneously, simplify the formulaes of li...

The main objective of this paper to detect an arc fault occurring in a low voltage dc system using wavelet transform. As we know arc faults plays a major role in an electrical power system, due to this fire, shocking hazard or system failure of the electrical system or equipment can be happen. It’s very challenging to detect arc fault in a dc system because unlike a ac system a dc system cannot...

This paper introduces a method to determine the tool wear by measured cutting force in Ball-nose End Milling. The features will be extracted from the measured cutting force with different flank wear. As the adaptive window width in wavelet transform is an advantage for analyzing and monitoring the rapid transient of small amplitude of cutting force signals when cutting engagement changes along ...