introduction: spect is a diagnostic imaging technique the main disadvantage of which is the existence of poisson noise. so far, different methods have been used by scientists to improve spect images. the wavelet transform is a new method for de-noising which is widely used for noise reduction and quality enhancement of images. the purpose of this paper is evaluation of noise reduction in spect ...

This paper presents a new technique by support vector machines after extracting the prominent iris features using discrete wavelet transformations, to achieve an optimal classification of energy system disturbances. A framework for recognition and protection from fake scenes was proposed. The scale-invariant feature transform is set as algorithm extract local (key points) images their method. T...

The properties of Wavelet Transform can be successfully applied for analysis and processing of non stationary signals e.g., speech and image processing, data compression and communications. Due to the growing number of applications in various areas, it is necessary to explore the hardware implementation options of the Discrete Wavelet Transform (DWT). The Wavelet Series is just a sampled versio...

the 9/7 Filter for Image Blocks Hongying Meng and Zhihua Wang A new fast spatial Combinative lifting algorithm (SCLA) of the wavelet transform with the 9/7 filter for image blocks is proposed. In comparison with its lifting-based implementation, the multiplication is reduced by a ratio of 5/12. The SCLA can speed up the implementation of the wavelet transform. Introduction: The popular 9/7 filt...

The aim of this work is to develop and validate simple, sensitive, selective and cost effective spectrophotometric methods for the determination of tetramisole hydrochloride in the presence of its alkali-induced degradation product without preliminary separation. These methods namely ratio difference [11,12], derivative ratio [13,14], mean centering [15,16] and continuous wavelet transform [17,...

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 denoising a local wavelet periodogram by applying a Haar-Fisz transform which Gaussianises and stabilizes the variance of the periodogram. Consequently the transformed periodogram is easier to smooth. This article demonstrates the super...

A recursive construction is provided for sequence sets which possess good Hamming Distance and low Peak-to-Average Power Ratio (PAR) under any Local Unitary Unimodular Transform. We identify a subset of these sequences that map to binary indicators for linear and nonlinear Factor Graphs, after application of subspace Walsh-Hadamard Transforms. Finally we investigate the quantum PARl measure of ...

The aim of this work is to develop and validate simple, sensitive, selective and cost effective spectrophotometric methods for the determination of tetramisole hydrochloride in the presence of its alkali-induced degradation product without preliminary separation. These methods namely ratio difference [11,12], derivative ratio [13,14], mean centering [15,16] and continuous wavelet transform [17,...