An Adaptive Fixed -point IVA Algorithm Applied to Multisubject Complex Valued FMRIdata – 2016

PROJECT TITLE: An Adaptive Fixed -point IVA Algorithm Applied to Multisubject Complex Valued FMRIdata – 2016 ABSTRACT: Independent vector analysis (IVA) has exhibited nice potential for the group analysis of magnitude-only fMRI information, however has rarely been applied to native complex-valued fMRI information. We tend to propose an adaptive mounted-point IVA algorithm by taking under consideration the very noisy nature, […]

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An Angular Parameter Estimation Method forIncoherently Distributed Sources via Generalized Shift Invariance – 2016

PROJECT TITLE: An Angular Parameter Estimation Method forIncoherently Distributed Sources via Generalized Shift Invariance – 2016 ABSTRACT: This paper proposes a replacement algorithm to estimate the nominal direction-of-arrival (DOA) and the angular spread of multiple incoherently distributed (ID) sources. With the general array manifold (GAM) model, the nominal DOAs are first separated from the initial array manifold. Then, a generalized […]

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Efficient and Robust RFI Extraction Via Sparse Recovery – 2016

PROJECT TITLE: Efficient and Robust RFI Extraction Via Sparse Recovery – 2016 ABSTRACT: This paper presents a simple adaptive framework for sturdy separation and extraction of multiple sources of radio-frequency interference (RFI) from raw ultra-wideband (UWB) radar signals in challenging bandwidth management environments. RFI sources create essential challenges for UWB systems since one) RFI often occupies a wide range of […]

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Explicit State-Estimation Error Calculations for Flag Hidden Markov Models – 2016

PROJECT TITLE: Explicit State-Estimation Error Calculations for Flag Hidden Markov Models – 2016 ABSTRACT: State estimation is studied for a special class of flag Hidden Markov Models (HMMs), which comprise 1) an arbitrary finite-state underlying Markov chain and 2) a structured observation process wherein a subset of states emit distinct flags with some chance whereas different states are unmeasured. For […]

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Flexible Multi-layer Sparse Approximations of Matrices and Applications – 2016

PROJECT TITLE: Flexible Multi-layer Sparse Approximations of Matrices and Applications – 2016 ABSTRACT: In this paper we propose a family of recent algorithms for non-negative matrix/tensor factorization (NMF/NTF) and sparse nonnegative coding and representation that has several potential applications in computational neuroscience, multi-sensory, multidimensional information analysis and text mining. We have developed a category of local algorithms which are extensions […]

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Graph Signal Denoising via Trilateral Filter onGraph Spectral Domain – 2016

PROJECT TITLE: Graph Signal Denoising via Trilateral Filter onGraph Spectral Domain – 2016 ABSTRACT: This paper presents a graph signal denoising method with the trilateral filter defined within the graph spectral domain. The first trilateral filter (TF) is a data-dependent filter that’s widely used as a foothold-preserving smoothing methodology for image processing. However, as a result of of the data-dependency, […]

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Investigating Ultraharmonic Modeling from Ultrasound Echo Signal with SISO Volterra Filter – 2016

PROJECT TITLE: Investigating Ultraharmonic Modeling from Ultrasound Echo Signal with SISO Volterra Filter – 2016 ABSTRACT: In general, one-input-single-output (SISO) Volterra series can’t be used for modeling component of ultraharmonic frequency from ultrasound echo signal. In this paper we gift a brand new technique for modeling the ultraharmonic element based on a SISO Volterra filter with exciting input signal at […]

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Japanese Janken Recognition by Support VectorMachine Based on Electromyogram – 2016

PROJECT TITLE: Japanese Janken Recognition by Support VectorMachine Based on Electromyogram – 2016 ABSTRACT: Recent years, biosignal is receiving attention as a tool of human interface. Above all, electromyogram (EMG) has already applied to many researches. In this study, we have a tendency to propose a method which will discriminate hand motions. We tend to measured an electromyogram of wrist […]

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New Sparse-Promoting Prior for the Estimation of aRadar Scene with Weak and Strong Targets – 2016

PROJECT TITLE: New Sparse-Promoting Prior for the Estimation of aRadar Scene with Weak and Strong Targets – 2016 ABSTRACT: In this paper, we have a tendency to take into account the matter of estimating a sign of interest embedded in noise employing a sparse signal illustration (SSR) approach. This problem has relevancy in many radar applications. In specific, estimating a […]

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Online Censoring for Large-Scale Regressions with Application to Streaming Big Data – 2016

PROJECT TITLE: Online Censoring for Large-Scale Regressions with Application to Streaming Big Data – 2016 ABSTRACT: On par with data-intensive applications, the sheer size of contemporary linear regression issues creates an ever-growing demand for efficient solvers. Fortunately, a significant share of the info accrued will be omitted while maintaining a bound quality of statistical inference with an inexpensive computational budget. […]

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