Improving performance for adaptive filtering with voice applications
Abstract
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Adaptive filtering is a common solution to many signal processing applications in which the environments are time varying. Its performance is limited by the misadjustment. A method to reduce the misadjustment when the additive noise in the desired signal is correlated is investigated in this work. The proposed method consists of two adaptive components: a modeling filter and a noise whitening filter. The proposed method performs better than the conventional LMS and RLS algorithms both in convergence speed and misadjustment factor. The performance of the adaptive filter when updated using LMS is observed. The improvement factor is proportional to the ratio of the noise power to white innovation power in the desired signal. The reduction in gradient noise allows larger step size, thus increasing the overall performance of the system. Both theoretical and simulation results proved that the proposed method gives a smaller misadjustment and better tracking capability than existing methods.
Degree
M.S.
Thesis Department
Rights
Access is limited to the campus of the University of Missouri--Columbia.
Related items
Showing items related by title, author, creator and subject.
-
Do endovascular filters prevent PE as effectively as anticoagulants in patients with DVT?
Flaim, Allison; Brennan, Michal; Safranek, Sarah (Family Physicians Inquiries Network, 2010)Although inferior vena cava filters (IVCFs) reduced the incidence of PE in a randomized controlled trial (RCT), patients treated with IVCFs and anticoagulation with unfractionated heparin or low-molecular- weight heparin ... -
A new adaptive framework for collaborative filtering prediction
Almosallam, Ibrahim Ahmad (University of Missouri--Columbia, 2008)Collaborative filtering is one of the most successful techniques for recommendation systems and has been used in many commercial services provided by major companies including Amazon, TiVo and Netflix. In this project we ... -
A fault detection scheme for modeled and unmodeled faults in a simple hydraulic actuator system using an extended Kalman filter
Ryerson, Cody (University of Missouri--Columbia, 2006)In this work an extended Kalman filter (EKF) is used to detect a variety of faults in a simple hydraulic actuator system. Much interest exists in detecting faults in their early stages in the hopes that machine downtime ...