Title :
Line spectral properties of quadratic models
Author_Institution :
Lab. of Acoust. & Audio Signal Process., Helsinki Univ. of Technol., Helsinki, Finland
Abstract :
Line Spectrum Pair (LSP) decomposition is a technique developed for robust representation of the coefficients of a Linear Predictive (LP) model. It has favourable properties with respect to root loci and quantisation noise. In this article, we will explore the properties of LSP polynomials when they are used to represent quadratic models of form A2(z) and A(z)z-mA(z-1). The quadratic models show intriguing properties in LSP decomposition, which can be used to develop a Levinson-type algorithm.
Keywords :
polynomials; quantisation (signal); root loci; LSP decomposition; LSP polynomials; Levinson-type algorithm; intriguing properties; line spectral properties; line spectrum pair decomposition; linear predictive model; quadratic models; quantisation noise; robust representation; root loci; Mathematical model; Matrix decomposition; Polynomials; Predictive models; Speech; Symmetric matrices; Vectors;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
