Sciweavers

TSP
2010
13 years 6 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
TSP
2010
13 years 6 months ago
Barankin-type lower bound on multiple change-point estimation
We compute lower bounds on the mean-square error of multiple change-point estimation. In this context, the parameters are discrete and the Cram
Patricio S. La Rosa, Alexandre Renaux, Carlos H. M...
TSP
2010
13 years 6 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
TSP
2010
13 years 6 months ago
Cognitive radios with multiple antennas exploiting spatial opportunities
In this paper, the achievable rates of the so called "multiple-input multiple-output interference channel", exploited by a couple of single antenna primary terminals and...
Luca Bixio, Giacomo Oliveri, Marina Ottonello, Mir...
TSP
2010
13 years 6 months ago
Generalized discrete Fourier transform with nonlinear phase
Constant modulus transforms like discrete Fourier transform (DFT), Walsh transform, and Gold codes have been successfully used over several decades in several engineering applicati...
Ali N. Akansu, Handan Agirman-Tosun
TSP
2010
13 years 6 months ago
Transient and steady-state analysis of the affine combination of two adaptive filters
In this paper, we propose an approach to the transient and steady-state analysis of the affine combination of one fast and one slow adaptive filters. The theoretical models are bas...
Renato Candido, Magno T. M. Silva, Vitor H. Nascim...
TSP
2010
13 years 6 months ago
Coherence-based performance guarantees for estimating a sparse vector under random noise
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 +w, where w represents white Gaussian noise and A is a given determinis...
Zvika Ben-Haim, Yonina C. Eldar, Michael Elad
TSP
2010
13 years 6 months ago
Fast algorithms for the computation of sliding sequency-ordered complex hadamard transform
Fast algorithms for computing the forward and inverse sequency-ordered complex Hadamard transforms (SCHT) in a sliding window are presented. The first algorithm consists of decompo...
Jiasong Wu, Huazhong Shu, Lu Wang, Lotfi Senhadji
TSP
2010
13 years 6 months ago
Adaptive sampling rate correction for acoustic echo control in voice-over-IP
Abstract--Hands-free terminals for speech communication employ adaptive filters to reduce echoes resulting from the acoustic coupling between loudspeaker and microphone. When using...
Matthias Pawig, Gerald Enzner, Peter Vary