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TSP
2008
121views more  TSP 2008»
14 years 9 months ago
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
Neil J. Bershad, José Carlos M. Bermudez, J...
VLSID
1997
IEEE
106views VLSI» more  VLSID 1997»
15 years 1 months ago
Low-Power Configurable Processor Array for DLMS Adaptive Filtering
I n this paper, we first present a pipelined delayed least mean square (DLMS) adaptive filter architecture whose power dissipation meets a specified budget. This low-power archite...
S. Ramanathan, V. Visvanathan
DAGM
2007
Springer
15 years 3 months ago
Selection of Local Optical Flow Models by Means of Residual Analysis
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
Björn Andres, Fred A. Hamprecht, Christoph S....

Publication
209views
14 years 6 months ago
Adaptive beamforming method based on constrained LMS algorithm for tracking mobile user
In this paper, Constrained Least Mean Square (CLMS) algorithm for narrowband adaptive beamforming for tracking mobile user in a 2D urban environment has been used. This algorithm i...
Peyman Rahmati
CORR
2011
Springer
170views Education» more  CORR 2011»
14 years 1 months ago
A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement
— In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapid...
Sayed A. Hadei, Mojtaba Lotfizad