Title :
Estimation of the power of the system noise for adaptive filter algorithms
Author :
Cho, Hyeonwoo ; Ban, Sung Jun ; Kim, Sang Woo
Author_Institution :
Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
Abstract :
In this paper, we proposed an algorithm for estimating the power of the system noise for adaptive filters. The proposed algorithm is developed by using the relationship between mean square error (MSE) and excess MSE (EMSE). Recursive calculations for the MSE and the EMSE are introduced, and an estimated power of system noise is derived by using the values. Through computer simulations, we show that the estimated power of system noise is close to the true value and can track the variation of the true value.
Keywords :
adaptive filters; estimation theory; mean square error methods; adaptive filter; computer simulations; mean square error; noise estimation; power estimation; Adaptive filters; Electronic mail; Finite impulse response filter; Gaussian noise; Iterative algorithms; Mean square error methods; Power engineering and energy; Power engineering computing; Real time systems; Recursive estimation; adaptive filter; excess mean square error; mean square error; power estimation; system noise;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
