In a previous paper we constructed some Haar wavelets on spherical triangulations, which are orthogonal with respect to a weighted inner product on L2(S2). We obtained two classes of wavelets which included certain wavelets obtained by Bonneau and Nielson et al. Each of these classes depended on two parameters which satisfied a relation. In this paper we study which of these wavelets are optima...

In this paper, we present a method with a low complexity for analysing short and dynamic biomedical sequences. The method uses the Daubechies D4 wavelet in combination with similarity fitness schemes for retrieval. The method has been shown to outperform Fourier based methods in retrieving biomedical sequences of dynamic lengths, as well as the Haar wavelet.

This paper describes and compares application of wavelet basis and Block-Pulse functions (BPFs) for solving fractional integro-differential equation (FIDE) with a weakly singular kernel‎. ‎First‎, ‎a collocation method based on Haar wavelets (HW)‎, ‎Legendre wavelet (LW)‎, ‎Chebyshev wavelets (CHW)‎, ‎second kind Chebyshev wavelets (SKCHW)‎, ‎Cos and Sin wavelets (CASW) and BPFs are presented f...

Wavelet decomposition in signal processing has been widely used the literature. The popularity of machine learning (ML) algorithms is increasing day by agriculture, from irrigation scheduling and yield prediction to price prediction. It quite interesting study wavelet-based stochastic ML models appropriately choose most suitable wavelet filters predict agricultural commodity prices. In present ...

Multimedia Retrieval is one of the most important and fastest growing research areas in the field of multimedia technology. Large collections of scientific, artistic and commercial data comprising image, text, audio and video abound in the present information based society. There must be an effective and precise method of assisting users to search, browse and interact with these collections. Th...

Wavelet shrinkage (WaveShrink) is a relatively new technique for nonparametric function estimation that has been shown to have asymptotic near-optimality properties over a wide class of functions. As originally formulated by Donoho and Johnstone, WaveShrink assumes equally spaced data. Because so many statistical applications (e.g., scatterplot smoothing) naturally involve unequally spaced data...

This paper presents an improved version of Tian’s algorithm for reversible data embedding. The improvement is highest at low em-

Diagnosing breast cancer from mammography reports is heavily dependant on the time sequences of the patient visits. In the work described, we take a longitudinal view of the text of a patient’s mammogram reports to explore the existence of certain phrase patterns that indicate future abnormalities may exist for the patient. Our approach uses various text analysis techniques combined with Haar w...

In this paper a new method of image data compression for medical images has been proposed to achieve high PSNR (Peak Signal to Noise Ratio). Image compression using Set Partitioning In Hierarchical Trees (SPIHT) transform is being compared with the other well known wavelets like Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Dual Tree Complex Wavelet Transform (DTCWT) and Em...