Title :
An Improved Variable Step Size LMS Adaptive Spectral-Line Enhancement Algorithm and Its Simulation
Author :
Tianhui, Wang ; Liyuan, M.A. ; Yongjun, Li ; Yonggang, Duan
Author_Institution :
Mech. Eng. Coll., Shijiazhuang, China
Abstract :
Aim at the disadvantage of too large step and error in steady state of VSLMS algorithm, the algorithm is improved to constitute a new filter. The simulation results show that the new algorithm in time domain and frequency domain is better than the original algorithm, which proves that the denoising performance of the new algorithm is excellent. The convergence speed of the new algorithm is faster than the old algorithm. The steady error is smaller and the algorithm is steady at the convergence stage. Finally, the relation between error and parameters is analyzed by comparison.
Keywords :
adaptive filters; least mean squares methods; signal denoising; VSLMS algorithm; adaptive filter; adaptive spectral line enhancement; least mean square; variable step size LMS; Adaptive filters; Convergence; Filtering algorithms; Filtering theory; Least squares approximation; Signal processing algorithms; Steady-state; adaptive filter; adaptive line enhancement; denoise; variable step-size LMS;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.181