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Procedural textures have been widely used as they can be easily generated from various mathematical models. However, the model parameters are not perceptually meaningful or uniform for non-expert users. In this paper, we proposed a system that can generate procedural textures interactively along certain perceptual dimensions. We built a procedural texture dataset and measured twelve perceptual properties...
The Laplacian model factor estimation is a critical link for noisy speech enhancement technique employing Laplacian statistical model priori of clean speech. In this letter, we propose a novel estimation algorithm for this parameter based on soft decision in discrete cosine transform domain. As the speech signal is not always present in the noisy speech signal at all components, we first compute the...
Artificial signals possess some certain chronological property-the cyclostationarity, with which the traditional DOA estimation can rarely reach the desired precision, or completely turns to be of no avail. Designated for removing the defect, this paper applies the Cyclic-Music algorithm to the MIMO radar's DOA estimation and verifies its effectiveness. Simulations show that the precision of MIMO...
Energy efficiency is an important issue for cognitive radio networks, in which each cognitive user must acknowledge experienced environment, besides maintaining communication. Existing works on energy efficiency have been focused on power control in traditional networks (e.g. CDMA network), supposing that the network environment is static. However, there has not been works on energy efficiency under...
Semi-supervised learning has become a topic of significant interests recently. In this paper, we are concerned with semi-supervised classification and noise detection. Based on label propagation algorithm, we present an improved label propagation algorithm, which can classify data and detect noise simultaneously. Compared with original label propagation algorithm, by detecting noise and constraining...
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