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Latest studies have shown that combining cosparsity and low-rank property usually results in efficient compressive sensing (CS) recovery approaches for multichannel electroencephalogram (EEG) signals. However, existing methods rarely consider noise or consider only the influence of Gaussian noise generated during transmission. When the measurement is corrupted by impulsive noise, the performance of...
Human motion data that are captured by the markers attached to an actor’s body have been widely used in many areas. However, occlusion caused by the actor’s body or clothing might make several markers missing for a period of time during the capture process, which highlights the need for motion recovery in the human motion capture process. In recent years, low-rank matrix completion and sparse coding...
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