Title :
Interpolation techniques for noisy spectral data
Author :
Lin, Shinfeng D. ; Younan, Nicholas H. ; Taylor, Clayborne D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
Abstract :
A technique for interpolating noisy frequency domain data is presented. It is based on rational function interpolation with the least square error method. Compared to traditional Lagrange interpolation, the method is shown to be more robust. Results for simulated data with additive white Gaussian noise and measured data are presented to demonstrate the validity of the interpolation technique
Keywords :
frequency-domain analysis; interpolation; least squares approximations; spectral analysis; white noise; Lagrange interpolation; additive white Gaussian noise; least square error method; measured data; noisy frequency domain data; noisy spectral data; rational function interpolation; signal processing; simulated data; Additive noise; Finite impulse response filter; Frequency domain analysis; IIR filters; Interpolation; Lagrangian functions; Noise robustness; Polynomials; Sampling methods; Spline;
Conference_Titel :
Southeastcon '91., IEEE Proceedings of
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-7803-0033-5
DOI :
10.1109/SECON.1991.147738
