Adaptive weight matrix design and parameter estimation via sparse modeling for MIMO radar
Adaptive weight matrix design and parameter estimation via sparse modeling are proposed for colocated multiple-input multiple-output radar.The sensing matrix design and transmit weight matrix are implemented in an iterative cyclic way.The angle-...
Recursive myriad-mean filters
In this paper, a new class of recursive hybrid filtering structures is proposed for impulsive noise removal; the so-called recursive myriad-mean (RMyM) filters. More precisely, the output of the RMyM filter can be thought of as the sum of two ...
Accurate continuousdiscrete unscented Kalman filtering for estimation of nonlinear continuous-time stochastic models in radar tracking
The novel accurate continuousdiscrete unscented Kalman filter is devised for treating stochastic models in radar tracking.The accurate continuousdiscrete extended Kalman filter is revised for accurate estimation of stochastic models in radar ...
Generalized fusion algorithm for compressive sampling reconstruction and RIP-based analysis
We develop an iterative CS reconstruction algorithm based on fusion of CS algorithms.We theoretically analyze convergence and performance of this algorithm (gFACS).Convergence of gFACS widens the scope of developing new CS reconstruction ...
A gradient-based approach to optimization of compressed sensing systems
A new framework to incoherent dictionary design is proposed and a gradient descent-based algorithm is derived to obtain the optimal dictionary.Based on a parametric technique, a gradient descent-based algorithm is derived to design the robust sensing ...
Improved sparse low-rank matrix estimation
We consider estimating simultaneously sparse and low-rank matrices from their noisy observations.We use non-convex penalty functions that are parameterized to ensure strict convexity of the overall objective function.An ADMM based algorithm is derived ...
Sparse-based estimation performance for partially known overcomplete large-systems
We assume the direct sum AB for the signal subspace. As a result of post-measurement, a number of operational contexts presuppose the a priori knowledge of the LB-dimensional interfering subspace B and the goal is to estimate the LA amplitudes ...
Constant modulus sequence set design with good correlation properties
This paper considers the design problem of constant modulus sequence set which could be applied in multiple-input multiple-output (MIMO) radar and communication societies, to achieve desired correlation properties.A new and general weighted integrated ...
Robust object tracking via multi-cue fusion
A long-term object tracking method based on calibrated binocular cameras by fusing information of the two channels and binocular geometry constraints is proposed.The stereo filter which is built based on the epipolar geometry of the binocular cameras is ...
Robust energy-to-peak filtering for discrete-time nonlinear systems with measurement quantization
This paper studied the problem of robust energy-to-peak filtering for a class of uncertain discrete-time nonlinear systems with measurement quantization. To the best of authors knowledge, the problem of designing robust energy-to-peak filters for ...
Group-sparse regression using the covariance fitting criterion
A generalization of the covariance fitting criteria, for grouped variables, is presented.An hyperparameter-free analogue to the SPICE method is proposed for grouped variables, termed group-SPICE.The connection between group-SPICE and the group-LASSO (...
Efficient reconstruction of density matrices for high dimensional quantum state tomography
The conventional quantum state tomography (QST) needs large number of measurements to reconstruct the quantum state. Thanks to the compressive sensing (CS) theory, one can recover a pure or nearly pure quantum state with an acceptable accuracy given ...
Waveform design with low range sidelobe and high Doppler tolerance for cognitive radar
The unimodular LFM-Syn waveform is formulated by a combination of random noise waveform and conventional LFM, where the phase-scaling factor makes it come true.To achieve low range sidelobes and high Doppler tolerance, a novel template-optimizing ...
MUSIC-like direction of arrival estimation based on virtual array transformation
In this paper, we propose a reduced-complexity algorithm to estimate the direction of arrivals (DOAs) of multiple uncorrelated narrow-band signals. We show that with an array of arbitrary configuration, the real part of the array covariance matrix can ...
Multichannel speech reinforcement based on binaural unmasking
Multichannel speech reinforcement exploiting DoA information is proposed.An empirical evidence of the binaural unmasking for monaural speech is provided.Proposed reinforcement restores perceived loudness considering binaural unmasking.The performance of ...
Real-time tracking based on weighted compressive tracking and a cognitive memory model
A long-term tracker inspired by human memory model is proposed.Impose a weight on positive samples for compressive tracker to avoid drifting.Harmonize short-term and long-term tracker to deal with different conditions. Compressed tracking (CT) is a ...
Enhanced regularized least square based discriminative projections for feature extraction
The regularized least square based discriminative projections (RLSDP) for extracting features was recently proposed, which aims to seek discriminant projection directions that maximize the between-class scatter and minimize the within-class compactness. ...
Cosa
The use of compressive sensing techniques has become predominant in signal processing applications when dealing with sparse signals. Theoretical results on these tools involve drastic conditions on the dictionaries used, which are usually not met in ...
