For all segments and tests, a modified Kalman filter and a quasi-static sensor fusion algorithm were equally accurate (precision and accuracy ∼2–3◦) compared to normalized least mean squares filtering, recursive least-squares filtering and standard Kalman filtering. The aims were to: (1) compare adaptive filtering techniques used for sensor fusion and (2) evaluate the precision and accuracy for...

In this paper, a novel method for single-channel speech enhancement based on Kalman filtering is proposed. Instead of applying the Kalman algorithm for full-band speech or uniform sub-band speech, speech enhancement is performed by applying the Kalman algorithm to non-uniform sub-band signals obtained from the decomposition of whole-band speech using gammatone filters. Simulation results indica...

Against the problem that indoor positioning suffers quite large errors and irregular user location movement, this paper adopts Support Vector Regression (SVR) for initial positioning and Kalman filtering for filtering of the positioning results so as to improve the accuracy of the positioning system. The experimental results show that against the real WLAN environment, SVR positioning results p...