Title :
Adaptive regularization method with application to sinusoidal frequency estimation
Author :
Liu, Sheng ; Xiang, Jingcheng
Author_Institution :
Inst. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
A novel nonparametric method for super-resolution frequency estimation from a noisy sinusoidal sequence is presented. The main idea of the method is to make use of data-adaptive weighted regularization based on iteration techniques. With a fast algorithm the computational cost of the proposed method is moderate. Furthermore, the method does not need the a priori knowledge of the superimposed sinusoid´s number and any additional information such as frequency domain bandwidth and energy distribution
Keywords :
adaptive signal processing; frequency estimation; iterative methods; nonparametric statistics; sequences; signal resolution; signal sampling; computational cost; data-adaptive weighted regularization; iteration techniques; noisy sinusoidal sequence; nonparametric method; super-resolution frequency estimation; Bandwidth; Computational efficiency; Convergence; Energy resolution; Frequency domain analysis; Frequency estimation; Gaussian noise; Multiple signal classification; Numerical stability; Signal resolution;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770169
