This paper presents a new spread-spectrum watermarking algorithm for digital images in discrete wavelet transform (DWT) domain. The algorithm is applied for embedding watermarks like patient identification /source identification or doctors signature in binary image format into host digital radiological image for potential telemedicine applications. Performance of the algorithm is analysed by va...

The existence of recorded accelerograms to perform dynamic inelastic time history analysis is of the utmost importance especially in near-fault regions where directivity pulses impose extreme demands on structures and cause widespread damages. But due to the scarcity of recorded acceleration time histories, it is common to generate proper artificial ground motions. In this paper an alternative ...

The wavelet transform theory is used to motor fault diagnosis in this paper, considering its characteristics of multi-resolution and stronger feature extraction ability than Fourier. The paper emphasizes de-noising and eliminating the singular value point of the wavelet transform in the nonstationary signal. And it makes a detailed and in-depth analysis about how to detect the frequency compone...

The detection based on wavelet technique is commonly used in image processing in those applications which involve edge detection. In this approach proposed by Tian and Giannakis, wavelets were made use of for the detection of edges in the Power Spectral Density of wide-band channel for spectrum sensing. The edges in power spectral density serve as the demarcation separating the various spectrum...

In this paper, drills wear monitoring method that based on the mahalanobis distance (MD) of spectrum energy features form cutting torque is proposed. The method consists of three steps. First, using the wavelet transform carried out separating cutting torque components from the original signals. Second, signals feature is adopted to Welch spectrum method extracted on wavelet coefficients of dif...

We present a direct method of calculation of the multifractal spectrum from the wavelet decomposition. Information pertinent to singular structures in time series is captured by the WTMM method and the local effective Hölder exponent is evaluated locally for each singular point of the time series. The direct multifractal spectrum is obtained from the scaling of the histograms of the local effec...

A multi-parameter feature and recognition method is established for GPR underground targets based on multi-feature information fusion ideas specific to complexity and diversity of detecting environment and underground media as well as non-stationarity and aperiodicity of GPR echo signals. This method carries out multi-parameter feature fusion by selecting power spectrum, wavelet packet energy s...

2 Principles 4 2.1 Fractals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.1.1 Definition and history . . . . . . . . . . . . . . . . . . . . . . . . 4 2.1.2 Fractal dimension . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.3 Hölder exponent and singularity spectrum . . . . . . . . . . . . . 6 2.2 Self-similar random processes . . . . . . . . . . . . . . ....