Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix

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Rotorcraft unmanned aerial vehicles (RUAV) have been widely used in many fields. However, one of the

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Frequency-elevation-azimuth Estimation without Pairing Using

Using Gyroscopes to Improve State Estimation for Quadrotor Aircraft

Improved cubature Kalman filtering-based estimation of the Jacobian matrix for environment mutation

Sparse representation for tumor classification based on feature extraction using latent low-rank rep

Target Detection using Sparse Representation with Element and Construction Combination Feature

Sparse-view photoacoustic tomography using virtual parallelprojections and spatially adaptive filter