Title :
An efficient nonlinear least square multisine fitting algorithm
Author :
Simon, Gyula ; Pintelon, Rik ; Sujbert, László ; Schoukens, Johan
Author_Institution :
Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Hungary
Abstract :
This paper presents a new nonlinear least-squares algorithm for fitting band-limited periodic signals with unknown frequency and harmonic content. The new solution features a model-based recursive calculation method that requires less memory space and has smaller computational demand than the known matrix-based algorithms
Keywords :
bandlimited signals; computational complexity; curve fitting; gradient methods; least squares approximations; recursive estimation; resonator filters; Gauss-Newton procedure; band-limited periodic signals; efficient algorithm; error surface; gradient search; harmonic content; model-based recursive calculation; multisine fitting algorithm; nonlinear least-squares algorithm; resonator filters; smaller computational demand; unknown frequency; Frequency estimation; Frequency measurement; Frequency synchronization; Information systems; Iterative algorithms; Least squares methods; Newton method; Parameter estimation; Power harmonic filters; Recursive estimation;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
Conference_Location :
Budapest
Print_ISBN :
0-7803-6646-8
DOI :
10.1109/IMTC.2001.928266
