1 citations · 1 across the 4 of their papers we have counts for
4 papers
Demodulation of Sparse PPM Signals with Low Samples Using Trained RIP Matrix
Seyed Hossein Hosseini, Mahrokh G. Shayesteh, Mehdi Chehel Amirani
Compressed sensing (CS) theory considers the restricted isometry property (RIP) as a sufficient condition for measurement matrix which guarantees the recovery of any sparse signal…
Robust Head Pose Estimation Using Contourlet Transform
Mohammad Tofighi, Hashem Kalbkhani, Mahrokh G. Shayesteh +1
Estimating pose of the head is an important preprocessing step in many pattern recognition and computer vision systems such as face recognition. Since the performance of the face r…
Compressed Sensing for Denoising in Adaptive System Identification
Seyed Hossein Hosseini, Mahrokh G. Shayesteh
We propose a new technique for adaptive identification of sparse systems based on the compressed sensing (CS) theory. We manipulate the transmitted pilot (input signal) and the rec…
Gradually Atom Pruning for Sparse Reconstruction and Extension to Correlated Sparsity
Seyed Hossein Hosseini, Mahrokh G. Shayesteh
We propose a new algorithm for recovery of sparse signals from their compressively sensed samples. The proposed algorithm benefits from the strategy of gradual movement to estimate…