An Accurate and Efficient Zero-Crossing Line Classifier for Multiscale Parameter Estimation of Gaussian Signals Subject to Noise

The multiscale parameter estimation framework is a method for estimating the true parameters of signals subject to noise. The method is based on detecting lines of zero-crossings within the Continuous Wavelet Transform and substituting their locations in time into analytical equations directly expressing the unknown signal parameters. Evidently, this approach depends on selecting the correct lines...