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» A quaternion widely linear adaptive filter
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TSP
2010
12 years 11 months ago
A quaternion widely linear adaptive filter
A quaternion widely linear (QWL) model for quaternion valued mean-squared-error (MSE) estimation is proposed. The augmented statistics are first introduced into the field of quater...
Clive Cheong Took, Danilo P. Mandic
ICASSP
2011
IEEE
12 years 8 months ago
Blind extraction of improper quaternion sources
Blind extraction of quaternion-valued latent sources is addressed based on their local temporal properties. The extraction criterion is based on the minimum mean square widely lin...
Soroush Javidi, Clive Cheong Took, Cyrus Jahanchah...
ICASSP
2011
IEEE
12 years 8 months ago
Non-data-aided adaptive beamforming algorithm based on the Widely Linear Auxiliary Vector Filter
We propose a non-data-aided adaptive beamforming algorithm based on Widely Linear (WL) processing techniques and the Auxiliary Vector Filtering (AVF) algorithm for non-circular si...
Nuan Song, Jens Steinwandt, Lei Wang, Rodrigo C. d...
ICIP
2006
IEEE
14 years 6 months ago
Sure-Based Wavelet Thresholding Integrating Inter-Scale Dependencies
We propose here a new pointwise wavelet thresholding function that incorporates inter-scale dependencies. This non-linear function depends on a set of four linear parameters per s...
Florian Luisier, Thierry Blu, Michael Unser
JAIR
2002
163views more  JAIR 2002»
13 years 4 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu