a r t i c l e i n f o a b s t r a c t Taking into account two types of tremor, namely essential tremor (ET) and Parkinson's disease (PD), which are often misdiagnosed in clinical practice, a novel approach using singular value decomposition (SVD) to extract the features of intrinsic mode functions (IMFs) and support vector machine (SVM) is proposed to distinguish between them. The hand accelera...

This paper explains the effect of various multi-wavelet interpolation methods on digital images to enhance the resolution of the images. A high resolution image is a major challenge for any image processing application, especially in defense and medical scenario. Here resolution enhancement technique is done in wavelet domain using multi-wavelets and interpolation methods. Visual perception of ...

Mass Spectrometry (MS) is a widely used technique in molecular biology for high throughput identification and sequencing of peptides (and proteins). Tandem mass spectrometry (MS/MS) is a specialised mass spectrometry technique whereby the sequence of peptides can be determined. Preprocessing of the MS/MS data is indispensable before performing any statistical analysis on the data. In this work,...

Abstruct-The discrete wavelet decomposition of second-order harmonizable random processes is considered. The deterministic wavelet decomposition of a complex exponential is examined, where its pointwise and bounded convergence to the function is proved. This result is then used for establishing the stochastic wavelet decomposition of harmonizable processes. The similarities and differences betw...

According to the concept of wavelet, the thesis analyse the peculiarity of wavelet, and applies Mallat algorithm of wavelet method to treat the photoacoustic signals of water content in oil. Mallat algorithm is a kind of multi-resolution wavelet transform. In large scale space roughly corresponds to the signal profile,in small scale space roughly corresponds to the signal details. This algorith...

A new speech enhancement system, which is based on a timefrequency adaptive wavelet soft thresholding, is presented in this paper. The system utilises a Bark-scaled wavelet packet decomposition integrated into a modified Weiner filtering technique using a novel threshold estimation method based on a magnitude decision-directed approach. First, a Bark-Scaled wavelet packet transform is used to d...

The wavelet periodogram is hard to smooth because of the low signal-to-noise ratio and non-stationary covariance structure. This article introduces a method for smoothing a local wavelet periodogram by applying a Haar-Fisz transform which approximately Gaussianizes and approximately stabilizes the variance of the periodogram. Consequently, smoothing the transformed periodogram can take advantag...

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 ...

Abstract. We present a pixel-level fusion method to refine the resolution of a multi-spectral image using a high-resolution panchromatic image. Our approach is an adaptation of the ARSIS method which takes into account the higher-order statistical moments of the wavelet coefficients. The use of the stationary wavelet transform allows the fusion between images of non-dyadic dimension with less “...