Analysis of GMM by a Gaussian Wavelet transform

Abstract The problem of GMM is applied to various fields, such as analysis of biometrics, the voice model in speech recognition, and picture information, and noise removal. A location parameter expresses a position and a scale parameter expresses a measure. A density function with a location parameter and a scale parameter is called location scale density function. A normal distribution is a location scale density function which makes an average a location parameter and has standard deviation as a scale parameter. Wavelet analysis is investigating a relation with an observation signal using a scale parameter and a transformer rate. The analysis of GMM which is a statistics model expressed by linear combination of a gauss basis function is tried using Wavelets Analysis.