In this paper we present a novel wavelet based exchange rate forecast model integrating wavelet filters for denoising and Improved Instance Based Learning(IIBL) approach. The proposed model implements a novel technique that extends the nearest neighbor algorithm to include the concept of pattern matching so as to identify similar instances thus implementing a nonparametric regression approach.T...

Principles of wavelet shrinkage denoising are reviewed. Both 1-D and 2-D examples are demonstrated. The performance of various ideal and practical Fourier and wavelet based denoising procedures are evaluated and compared in a new Monte Carlo simulation experiment. Finally, recommendations for the practitioner are discussed. 1 Some Opposing Viewpoints Applied scientists and engineers who work wi...

Denoising multidimensional NMR-spectra is a fundamental step in NMR protein structure determination. The state-of-the-art method uses wavelet-denoising, which may suffer when applied to non-stationary signals affected by Gaussian-white-noise mixed with strong impulsive artifacts, like those in multi-dimensional NMR-spectra. Regrettably, Wavelet's performance depends on a combinatorial search of...

In this paper, we present a novel image denoising method using Q-shift with Dual Tree Complex Wavelet Transform (QDTCWT) for denoising fingerprint images. The DTCWT is an over complete wavelet transform with limited redundancy and generates complex coefficients in parallel using a dual tree of wavelet filters. But, low pass delay produces a Hilbert pair relationship between two trees. This is w...

In this paper, a denoising algorithm and simulation experiments of algorithm based on wavelet transform and support vector machine (SVM) image is proposed, a new method is adopted in the selection of characteristic vector of support vector machine, based on training of support vector machine, the support vector machine model is used to distinguish between noise and the original image, to achiev...

Denoising of the ECG signals is required, as they are prone to noises during their acquisition. Currently, denoising techniques for ECG signals are mostly available in the wavelet transform domain. In this paper, an approach for denoising the ECG signals in the Framelet domain is proposed. Initially, signals are decomposed using the Framelet transform. After decomposition, they are denoised usi...