Wavelet transform-based peak detection with application to biomedical imaging.

摘要

Peak detection is important in signal monitoring involving identification of local maxima and minima in a signal. Many signal processing algorithms which analyzes signals based on thresholds are often so severely affected by noise spikes that signal conditioning of one form or another is required.; Wavelets have been found as a popular and useful tool for the investigation and analysis of many kinds of problems. Wavelets have been successfully used in signal processing because of its multiresolution properties and the correlation that exists between different wavelet scales at points of signal presence. This property combined with the advantages of B-splines, such as fast and smooth decaying bases function, have been utilized to propose a novel algorithm for peak detection. The advantages of the proposed algorithm are adjustable peak sensitivity and neighborhood constraints which give the required flexibility to the engineer in making the algorithm suited for many peak detection need.