5 papers
Ideological Sublations: Resolution of Dialectic in Population-based Optimization
S. Hossein Hosseini, Afshin Ebrahimi
A population-based optimization algorithm was designed, inspired by two main thinking modes in philosophy, both based on dialectic concept and thesis-antithesis paradigm. They impo…
Simulated Tornado Optimization
S. Hossein Hosseini, Tohid Nouri, Afshin Ebrahimi +1
We propose a swarm-based optimization algorithm inspired by air currents of a tornado. Two main air currents - spiral and updraft - are mimicked. Spiral motion is designed for expl…
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…
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…