[PDF] Top 20 A Robust Beamformer Based on Weighted Sparse Constraint
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A Robust Beamformer Based on Weighted Sparse Constraint
... A beamformer is a versatile form of spatial filtering, using multiple antenna systems to separate signals that have overlapping frequency spectra but originate from different spatial ... See full document
8
Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure
... for robust speaker recognition based on auditory periphery model and tensor ...obtain robust spectrotemporal ...(3) Sparse constraint on NTPCA enhances energy concentration of speech ... See full document
9
Quaternion-valued robust adaptive beamformer for electromagnetic vector-sensor arrays with worst-case constraint
... 2]. Based on such a system, the adaptive beamforming problem was studied in detail in terms of the out- put signal-to-interference-plus-noise ratio (SINR) in ... See full document
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Magnitude Constraint Minimum Variance Beamformer with Conjugate Symmetric Constraint and Norm Constraint
... improved robust minimum variance beamformer against DOA mismatch and finite sample ...LCMV beamformer are substituted by the inequality constraints on the magnitude response, which is more applicable ... See full document
10
A Robust Direct Data Domain Least Squares Beamforming with Sparse Constraint
... Capon beamformer [5] generally require several successive snapshots of data to form an estimate of the covariance matrix of interference to recover the desired signal from the noise contaminated ... See full document
13
Salient Object Detection Via Two Stage Graphs
... a weighted joint robust sparse representation (WJRSR) model, rather than the commonly used manifold ranking model, helps to compute the saliency value of each node in the first-stage graph, thereby ... See full document
15
Robust Adaptive Wideband Beamforming Using Probability-Constrained Optimization
... Many robust beamformers have been proposed to deal with look direction errors [9, ...derivative constraint method which imposes additional derivative constraints on the beamformer to obtain a wider ... See full document
10
Metasample Based Robust Sparse Representation for Tumor Classification
... nonnegative constraint to [3]; introducing a Laplacian term of coefficient in sparse coding [4]; Designing the sparsity regularization terms by using the Bayesian methods [5] and using the weighted ... See full document
6
A Robust Capon Beamformer against Uncertainty of Nominal Steering Vector
... proposed robust beamforming method can be consid- ered as maximizing the output power of the standard Capon ...method based on principal component analysis ...uncertainty constraint is applied on the ... See full document
8
Total Difference Based Partial Sparse Lcmv Beamformer
... variance constraint on the total array output energy and the sparse constraint on the beam pattern, the M -by-N matrix A consists of N steering vectors for all possible interference with DOA in the ... See full document
7
Weighted sparse graph based dimensionality reduction for hyperspectral images
... [17], sparse coding results in fewer reconstruction errors thanks to the over-complete dictionary, and is robust to ...the sparse coding coefficients can vary a lot, even for similar test ...The ... See full document
15
Compressive Sensing Based Approach to the Design of Linear Robust Sparse Antenna Arrays with Physical Size Constraint
... This is a repository copy of Compressive Sensing Based Approach to the Design of Linear Robust Sparse Antenna Arrays with Physical Size Constraint.. White Rose Research Online URL for th[r] ... See full document
24
Frequency smoothed robust Capon beamformer applied to medical ultrasound imaging
... rent robust Capon beamformer with spatial smoothing (RCB-SS) is implemented in the time domain, which does not fully utilise the large bandwidth of ultrasound signals and spatial smoothing reduces the ... See full document
92
Robust Adaptive Beamformer Using Interpolation Technique for Conformal Antenna Array
... method based on the interpolation technique. This method gives a robust and high performance on conformal array compared with conventional ...simple, robust and high ... See full document
14
Discriminating Tuberculous Pleural Effusion from Malignant Pleural Effusion Based on Routine Pleural Fluid Biomarkers, Using Mathematical Methods
... Previous studies have reported the performance of various biomarkers, such as nucleated cells, lymphocytes, neutrophils, eosinophils, cholesterol, proteins, lactate dehydrogenase (LDH), adenosine deaminase (ADA), ... See full document
9
Space-Time Adaptive Processing Based on Weighted Regularized Sparse Recovery
... the weighted SR-STAP algorithms or the SR-STAP ...the weighted D3SR-STAP algorithms and the D3SR-STAP algorithm, a deterministic method provides an estimate which comes closer to the Cramer-Rao bound than ... See full document
18
Equiprobable mappings in weighted constraint grammars
... ‘polyamide’, /liirumlaarumi/ ‘nonsense’, and /inku- naabeli/ ‘incunable’. The stems differ in the weight and quality of the preantepenultimate and an- tepenultimate syllables (heavy vs. light, [+low] vs. [−low]), which ... See full document
10
New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers
... Violations of the independent assumption can results to multicollinearity in the data set. The inference procedures estimated based on the presence of multicollinearity will invalidate the model parameter. ... See full document
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Sparse dissimilarity constraint coding for glaucoma screening
... normal based on the CDR and blood vessel ...achieved based on brightness, anatomical structures among the disc, macula, and retinal BVs or the relative locations of these anatomical ... See full document
9
Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint
... Since natural images are almost always compressible, the application of compression sensing is natural. However, if compressive sensing is applied to the large-sized image dir- ectly, the measurement matrix would be very ... See full document
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