Comparison of Quality Power Spectrum Estimation (Bartlett, Welch, Blackman & Tukey) Methods
Rahul U. Kale, Pavan M. Ingale, Rameshwar T. Murade · 2013
To convert the analog signals into samples of digital signals is called the DSP. In this paper we study the power spectrum estimation of DSP. There is a fluctuation on DSP signals thermal noise in resistors & electronic dev ices. There are two methods for calculating PSE is parametric & non parametric methods. In Nonparametric (classical) methods - begin by estimating the autocorrelation sequence fr om a given data. Limitations of non parametric methods are we require inherent assumptions for autocorrelation estimate. Parametric method we assume that signal is output of a system having white noise as an input. We model the system and get its parameters i.e. coloring filter coefficients and pr edict the power spectrum. Here we compare the Yule-Walker method & Burg method for Power spectrum estimation. In this paper we see that parametric methods do not need these assumptions.