A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization

This paper proposes a hybrid multichannel processing method for spaceborne Hybrid Phased-MIMO SAR (HPMSAR) that can achieve different applications of multi-direction swath imaging on the same platform. The method is optimal because it is a combination of two-dimension (2D) advanced digital beamforming (DBF) technology and multichannel pre-filter technology for highresolution wide-swath SAR sign...

To investigate the effect of signal correlation, the authors compared the relative abilities to estimate the source of an ERD/ERS signal among minimum variance beamformer (MVBF), linearly constrained (LC)-MVBF, prewhitening beamformer (PWBF), and LC-PWBF during the measurement of correlated signals. In numerical simulations, equivalent current dipoles were placed in the primary motor cortex to ...

Reduced rank (RR) linearly constrained minimum variance (LCMV) adaptive beamforming with quadratic pattern constraints (QPC) is applied to space-time adaptive processing (STAP) for airborne radar. The problem is formulated for general rank reducing transformations and main beam and sidelobe pattern control is achieved by imposing a set of inequality constraints on the mean-square error between ...

Speaker segmentation is an important task in multi-party conversations. Overlapping speech poses a serious problem in segmenting audio into speaker turns. We propose an audio-visual speech separation system consisting of an array microphone with eight sensors and an omnidirectional color camera. Multiple concurrent speeches are segmented by fusing the two heterogeneous sensors. Each segmented s...

Shepherd and McWhirter proposed a QRD-RLS algorithm for adaptive filtering with linear constraints. In this paper, the numerical properties of this algorithm are considered. In particular, it is shown that the computed weight vector satisfies a set of constraints which are perturbed from the original ones, the amount of perturbation being dependent on the wordlength. The linearly constrained FL...

Magnetoencephalography (MEG) is a method to measure a magnetic field generated by electrical neural activity in a brain, and it plays increasingly important role in clinical diagnoses and neurophysiological studies. However, in MEG analysis, the estimation of the brain activity, of the electric current density distribution in a brain which is represented by current dipoles, is problematic. A sp...

This paper studies the effect of array manifold errors on ihe performance of various signal copy algorithms. under t h e assumption that the observation time is suficiently long, the following algorithms are atudied: classical beamforming, least squares, total least squares, linearly constrained minimum variance beamforming, and structured stochastic estimation. Expressions JOT the mean-square ...

This work investigates the improvement in Bit Error Rate (BER) with different antenna configuration using beamforming technique. In this paper Linearly Constrained Minimum Variance (LCMV) beamforming is used and based on this BER graph is plotted. The idea is to show improvement in BER performance with increasing number of antenna and also to show that the data rate can be increased if BER is b...